Sökresultat för "AI Framework"

VAR MED OCH SKALA ADVANIAS TRUSTED AI PLATFORM Vi bygger Yggdrasil, en Trusted AI Platform för reglerade nordiska verksamheter. Inom AI Product & Engineering växer antalet initiativ, team och beroenden, och vi söker vi dig, en Technical Program Manager, som vill ta ett centralt ansvar för den operativa leveranskoordineringen[ES1.1]. Här blir du navet mellan teknik, produkt och verksamhet. Du skapar tydlighet i komplexa sammanhang, ser till att rätt information når rätt intressenter och gör det möjligt för Tech Leads och ingenjörer att fokusera på utveckling och tekniska beslut. Rollen passar dig som trivs med att driva arbete framåt genom struktur, kommunikation och förtroende, snarare än genom formellt mandat. DET HÄR FÅR DU GÖRA Som Technical Program Manager ansvarar du för att koordinera leverans över flera parallella program och initiativ inom AI Product & Engineering. Du arbetar nära Head of AI Product & Engineering, Head of AI Transformation, Tech Leads, AI Engineers, Data Engineer och UX Designer i ett distribuerat team som arbetar huvudsakligen på engelska. I rollen kommer du att: • Planera, koordinera och följa upp leveranser över flera team och initiativ • Identifiera, dokumentera och hantera beroenden i tid • Driva uppföljning, eskaleringar och beslutsförberedelser när leveransrisker uppstår • Facilitera sprintplanering, retrospektiv, demos och andra återkommande ceremonier • Skapa tydlighet kring ansvar, prioriteringar, status och nästa steg • Äga den operativa intakeprocessen för nya initiativ • Strukturera inkommande behov och omvandla dem till beslutsunderlag • Kartlägga risker, kommunicera konsekvenser och föreslå alternativa handlingsvägar • Översätta tekniska frågeställningar till affärsmässiga konsekvenser för ledning och intressenter Beslut om prioriteringar och tekniska vägval fattas i nära samarbete med ansvariga Tech Leads. Din roll är att skapa bästa möjliga förutsättningar genom att säkerställa att besluten baseras på korrekt, aktuell och välstrukturerad information. SÅ BIDRAR DU I ROLLEN Det här är en roll för dig som kan skapa framdrift i en miljö där processer fortfarande utvecklas. Du tar ansvar för att planera, prioritera och genomföra ditt arbete inom givna ramar, samtidigt som du håller ihop detaljerna utan att tappa helheten. Du bygger förtroende genom att vara tydlig, transparent och påläst. Det märks i hur du sätter dig in i behov från produkt, teknik och verksamhet, omsätter dem till relevanta underlag och rekommendationer och följer upp att arbetet leder till kvalitet och värde. När risker eller beroenden uppstår agerar du tidigt, synliggör konsekvenser och hjälper team och intressenter att komma vidare. Rollen bygger också på ett aktivt samarbete. Du skapar och vårdar relationer över teamgränser, söker stöd och specialistkunskap när det behövs och använder ditt nätverk för att lyckas i uppdraget. Genom att bidra med struktur, transparens och ett lösningsorienterat arbetssätt stärker du både teamets leveransförmåga och förutsättningarna för Yggdrasils fortsatta utveckling. DET DU HAR MED DIG För att lyckas i rollen har du byggt upp en stabil grund inom teknisk leverans och är van vid att koordinera arbete som spänner över flera team och intressenter. Du rör dig obehindrat mellan teknik och affär och trivs i miljöer där struktur, tydlighet och samarbete är avgörande. Du har erfarenhet av att: • arbeta i en roll som Technical Program Manager, Delivery Manager eller liknande, där du samordnat leverans över tid • koordinera flera team eller initiativ, med förståelse för beroenden och leveransflöden • verka i en teknisk kontext som mjukvaru eller produktutveckling, teknisk projektledning eller IT leverans • arbeta enligt agila arbetssätt och är bekväm med sprintplanering, retrospektiv och backlog koordinering • hantera intake, prioritering eller styrning tillsammans med flera intressenter • omsätta teknisk komplexitet till tydliga affärsmässiga konsekvenser • navigera i moderna tekniska landskap med plattformar, molntjänster och infrastruktur Du kommunicerar obehindrat på engelska, både i tal och skrift utöver svenska. Det är meriterande om du har erfarenhet av exempelvis AI eller ML relaterade produkter, arbete i reglerade verksamheter, internationella eller distribuerade team, eller verktyg som Azure DevOps, Jira eller Linear. Erfarenhet av svenska samt certifieringar som PMP, PRINCE2 eller SAFe är också ett plus. HÄR KAN DU UTVECKLAS VIDARE Du behöver inte kunna allt från start. Hos oss kan du bygga vidare på din kompetens inom AI plattformar, AI infrastruktur, on premises AI miljöer, Sovereign AI, dataresidenskrav samt specifika verktyg och arbetssätt inom AI Framework. DÄRFÖR ÄR ROLLEN VIKTIG Initialt kommer ditt arbete att fokusera på att skapa struktur och tydlighet i leveransen av Yggdrasil. Du kommer att vara med och vidareutveckla intakeprocessen, stärka koordineringen mellan team och initiativ och bidra till bättre överblick över beroenden, risker och status. Genom ditt sätt att skapa framdrift, samla rätt information och bygga förtroende mellan teknik, produkt och verksamhet bidrar du till att teamet kan arbeta mer förutsägbart och fokuserat. På så sätt blir du en viktig del av AI Product & Engineerings fortsatta tillväxt och av arbetet med att skala Advanias AI plattform för verksamheter med höga krav på tillit, kvalitet och struktur. VI SER FRAM EMOT DIN ANSÖKAN! 👋 Visa gärna ditt intresse så snart som möjligt då vi intervjuar löpande. Vi välkomnar sökanden med olika bakgrunder, erfarenheter och synsätt, eftersom vi vet att en bredare mångfald berikar var och en av oss och stärker såväl effektivitet som kreativitet i vårt arbete. Som en del av vår rekryteringsprocess genomgår våra slutkandidater en obligatorisk bakgrundskontroll, en för oss kvalitativ kontroll inför ett anställningsbeslut. Advania samarbetar med Ljung & Sjöberg i ärenden kopplat till alkohol-, drog- och spelproblematik och är en certifierad "Proaktiv Arbetsplats". Tveka inte att höra av dig om du har några frågor eller funderingar.☀️

YOUR MISSION AI you can ship As an AI Engineer at Advania, you will build systems designed to work in production from day one. You will be part of a team developing a trusted AI platform for organisations with high demands on security, compliance, and reliability. This is a hands-on role for an experienced engineer who wants to work with AI as part of real products, not experiments. You will join an early and growing initiative where your work has a direct impact on both the solutions we deliver and how we build them. We focus on pragmatic decision-making, strong engineering foundations, and outcomes that hold up over time. You will be based in our Stockholm team, working closely with engineers, tech leads, and stakeholders in a collaborative on-site/hybrid setup from our Liljeholmen office. While Advania’s corporate language is Swedish, our day-to-day work is conducted in English. Fluent English is required, and Swedish is strongly meriting, including a willingness to develop it over time. WHAT WE'RE LOOKING FOR MUST HAVE * Strong software engineering foundation with professional Python experience * Experience building or integrating LLM-based systems in production * Experience working with APIs, backend systems, and structured software development practices * Understanding of testing, evaluation, and reliability in AI systems * Ability to work independently and communicate clearly in collaborative environments * Fluent English NICE-TO-HAVE * Experience with RAG pipelines and vector search * Experience with cloud infrastructure (Azure, AWS, or GCP) * Experience with observability, CI/CD, and production monitoring * Experience working in regulated or security-sensitive environments * Swedish language skills TECH STACK & ENVIRONMENT You will primarily work with: * Python * LLM integrations and AI platforms * RAG pipelines and retrieval systems * APIs and backend services * Evaluation, testing, and observability tooling * Production-oriented engineering and security workflows * Infrastructure designed for trusted enterprise AI deployments Our platform is built for organisations with high demands on security, compliance, and operational control. We manage the complexity of running AI systems in trusted environments, with infrastructure and data handling designed to meet enterprise and regulated industry requirements. Experience with the exact tools we use today is less important than strong engineering fundamentals and the ability to build reliable systems that work in production over time. (Detailed role description in Swedish below) DITT ANSVAR OCH BIDRAG Som AI Engineer hos oss bygger och vidareutvecklar du AI drivna funktioner som används i verkliga produkter och arbetsflöden. Du arbetar nära flera initiativ inom vår AI satsning och ansvarar för lösningar som är stabila, säkra och skalbara i produktion. Rollen vänder sig till dig som har gedigen erfarenhet av mjukvaruutveckling och som vill arbeta med AI engineering i en miljö med höga kvalitetskrav. I rollen förväntas du ta ett tydligt ansvar för både genomförande och kvalitet. Det innebär att du arbetar hands on och säkerställer att det som byggs fungerar över tid, inte bara i demoform. Du ansvarar bland annat för att: • Integrera och använda modeller via vår AI plattform • Bygga, förbättra och förvalta promptflöden och RAG pipelines kopplade till relevanta dokumentkällor. • Utveckla evalueringar, tester och scripts för att verifiera kvalitet, prestanda och tillförlitlighet. • Säkerställa att lösningarna är testbara, robusta och redo för verklig användning i produktion. Arbetet sker främst i Python och inom ramen för etablerade tekniska mönster, arbetssätt och säkerhetskrav. Du driver ditt arbete självständigt inom givna ramar och samarbetar nära med Senior AI Engineers, Tech Leads och andra specialister. Du äger inte den övergripande arkitekturen, men förväntas bidra med tekniskt omdöme, förbättringsförslag och perspektiv i det dagliga arbetet. Som AI Engineer förväntas du: • Strukturera arbetet även när krav inte är fullt definierade. • Fånga upp oklarheter, utmana antaganden och tydliggöra konsekvenser i tid. • Dokumentera lösningar och lärdomar så att teamets gemensamma leveransförmåga stärks. • Ta ansvar för säker hantering av data, credentials och infrastrukturella gränser utan kompromisser. Du är med och bygger AI i en kontext där tillit, kontroll och produktionsmognad är avgörande. VI SÖKER DIG SOM HAR Trygghet i tekniken | Styrka i genomförandet | Lätt för samarbete Vi söker dig som är en erfaren mjukvaruutvecklare med ett tydligt intresse för AI i praktisk tillämpning. Du har byggt lösningar som används på riktigt och trivs i en roll där kvalitet, ansvar och långsiktighet är centralt. För att lyckas i rollen ser vi att du: • Har ett starkt ingenjörsmässigt fundament och arbetar obehindrat i Python. • Har praktisk erfarenhet av att integrera och använda LLM-baserade lösningar i produktion. • Förstår vad som krävs för att AI-lösningar ska vara tillförlitliga, testbara och säkra över tid. • Tar eget ansvar för implementation, kvalitet och samarbete i team. • Värdesätter struktur, dokumentation och professionellt tekniskt omdöme. Du behöver inte ha arbetat med exakt samma verktyg eller tekniker som vi gör idag, men du har erfarenhet som gör att du snabbt kan sätta dig in i vårt sätt att bygga AI i produktion. SJÄLVLEDARSKAP OCH KONSULTMÄSSIGHET Det är viktiga delar av rollen. Du tar ansvar för att skapa framdrift inom givna ramar, även när förutsättningarna inte är helt definierade. Du fångar upp oklarheter tidigt, utmanar antaganden med gott omdöme och kommunicerar tydligt kring konsekvenser och vägval. Du växlar mellan tekniskt djup och förståelse för verksamhetens behov och bidrar med struktur, ansvar och professionalism i samarbetet med kollegor och andra intressenter. VARFÖR ADVANIA NU Advanias AI-verksamhet bygger en suverän Trusted AI Platform och en växande produktportfölj för företag i reglerade miljöer. Det här är rätt tidpunkt för dig som vill ha verkligt mandat och faktiskt ansvar då du kommer att vara med och definiera de standarder och riktlinjer som gör plattformen säker, compliant och redo för produktion. VI SER FRAM EMOT DIN ANSÖKAN! 👋 Visa gärna ditt intresse så snart som möjligt då vi intervjuar löpande. Vi välkomnar sökanden med olika bakgrunder, erfarenheter och synsätt, eftersom vi vet att en bredare mångfald berikar var och en av oss och stärker såväl effektivitet som kreativitet i vårt arbete. Som en del av vår rekryteringsprocess genomgår våra slutkandidater en obligatorisk bakgrundskontroll, en för oss kvalitativ kontroll inför ett anställningsbeslut. Advania samarbetar med Ljung & Sjöberg i ärenden kopplat till alkohol-, drog- och spelproblematik och är en certifierad "Proaktiv Arbetsplats". Tveka inte att höra av dig om du har några frågor eller funderingar. ☀️

Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI. Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we’re scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it. Together, we build the future of SAM. About the role We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam. In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most. You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands-on role with the opportunity to shape how AI is adopted across the entire company. Responsibilities Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users Design and develop reusable AI components, prompts, and workflows that different departments can leverage Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch-up Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non-deterministic workflows and analytics Build and manage self-hosted AI infrastructure including open-source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value Qualifications 3+ years of software development experience Strong experience with Python and API integrations Experience building solutions with LLMs and modern AI frameworks Experience working with RAG, vector databases, or agent frameworks Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar Experience working with open-source AI models and inference platforms Comfortable working with Linux, Docker, and self-hosted environments Strong problem-solving skills and a passion for building practical solutions Excellent communication skills and the ability to collaborate with both technical and non-technical teams Fluent in English, both written and spoken Bonus points if you have Experience with workflow automation platforms (e.g. n8n, Make, Temporal) Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI) Experience with MLOps or deploying machine learning systems into production Experience fine-tuning or hosting open-source language models Contributions to open-source projects or a portfolio of AI side projects What you get A generous work culture with free drinks and snacks, office massages, and more. Three days in-office (with remote work on Mondays and Fridays). An opportunity to shape your career growth while contributing to the company’s success. A dynamic position embracing "freedom under responsibility". If sales targets are met, all employees enjoy an annual destination trip. Other location-specific benefits. Our values at Xensam Rebellious We challenge the norm and act with initiative – always with responsibility. Humane We foster a caring, inclusive environment that values diversity and respects individuality. Harmony We value balance and create a supportive workplace where people thrive. As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.

AI Laboratory Infrastructure & Operations Engineer About Us We are an AI and Data Mining company developing. Our AI infrastructure includes NVIDIA GPU clusters, enterprise AI platforms, large-scale model training and inference environments, and intelligent AI workflow automation. We are expanding our AI Laboratory and are looking for an experienced engineer to build and operate our AI computing environment. Responsibilities You will participate in the planning, deployment, operation, and maintenance of our AI laboratory infrastructure, including: Design, deploy, and maintain AI server and GPU infrastructure Install, rack, cable, commission, and maintain AI servers in data center environments Plan and execute AI infrastructure expansion, upgrades, and hardware lifecycle management Deploy and manage Linux servers Install, configure, and maintain NVIDIA CUDA, Docker, Kubernetes, and the AI software stack Deploy and optimize AI model training and inference environments Build and maintain AI agent platforms Develop AI workflows and automation pipelines Maintain AI computing clusters and GPU infrastructure Monitor system performance and optimize GPU utilization Monitor power distribution, cooling systems, and overall hardware health Troubleshoot AI server hardware, GPU, networking, storage, operating system, and software issues Support AI researchers and software engineers Requirements Required Strong Linux system administration experience Experience with AI server hardware deployment, installation, maintenance, and troubleshooting Experience with data center infrastructure, including power distribution, rack installation, cabling, cooling, and hardware commissioning Experience deploying and maintaining NVIDIA GPU servers Experience with Docker Experience with Python Experience with CUDA Experience with AI frameworks (PyTorch / TensorFlow) Familiar with LLM deployment Experience with Git Experience with enterprise networking (10/25/100Gb Ethernet or InfiniBand) Experience assembling, upgrading and repairing enterprise servers Preferred Kubernetes Slurm Ansible GPU cluster management AI Agent Platforms LangChain MCP Vector Database RAG Workflow Automation CI/CD Nice to Have Experience with one or more: Multi-GPU training Distributed AI computing NVIDIA DGX AI Data Center Enterprise AI Infrastructure InfiniBand or other high-speed networking Storage systems (NAS / SAN) OpenAI API DeepSeek Qwen Llama We Offer Competitive salary Flexible working environment Opportunity to work with cutting-edge AI technologies Career development in AI infrastructure and intelligent systems Language English required Chinese is a strong advantage（Chinese (Mandarin) proficiency is highly preferred, as the role involves collaboration with our Chinese engineering teams and technical documentation.）

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an experienced Data & AI Program Lead What You Will Work On Lead the Architecture, Security, and Responsible AI workstream within a strategic Data & AI program Plan, coordinate, and monitor workstream activities, milestones, resources, budgets, and deliverables Translate strategic objectives into practical implementation plans Define and implement target architecture, architecture principles, and reference architectures Establish AI governance, model governance, and Responsible AI frameworks Develop architecture guardrails for secure, scalable, and cost-effective AI solutions Coordinate enterprise, domain, and solution architects across the program Drive collaboration with security teams, platform teams, product owners, business stakeholders, and program management Ensure compliance with information security, cybersecurity, privacy, and regulatory requirements Manage governance, risk assessments, dependency tracking, and mitigation activities Produce decision documents, impact assessments, architecture documentation, and executive status reports Facilitate architecture forums, planning workshops, governance meetings, and steering committee discussions Monitor delivery quality and ensure adherence to enterprise standards and governance models Support secure adoption of Data, AI, and Agentic AI solutions across the organization Drive continuous improvements in architecture, governance, security, and AI best practices What You Bring Minimum 8 years of experience leading large-scale programs, projects, or digital transformation initiatives Strong experience in Data & AI Transformation, IT Architecture, or Digital Transformation Proven experience leading cross-functional teams including architects, security specialists, and technical experts Strong knowledge of AI, Responsible AI, and AI Governance Solid understanding of Enterprise Architecture, Domain Architecture, and Solution Architecture Experience establishing governance models and architecture principles Strong knowledge of information security, cybersecurity, identity management, and privacy Experience working with regulatory compliance and governance frameworks Experience with risk management, dependency management, and program governance Ability to translate strategic goals into actionable implementation plans Experience coordinating enterprise-wide architecture and security initiatives Strong stakeholder management and executive communication skills Experience preparing decision support, impact assessments, and governance documentation Strong leadership, planning, and delivery management skills Excellent analytical, problem-solving, and decision-making abilities Experience leading organizational change and transformation initiatives Fluent in Swedish and English, both written and spoken

Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… Commercial impact We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: Lead Umain’s strategy in AI/ML Be the client-facing expert Represent Umain AI within Eidra AI Solution Architecture: Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs Help teams choose the right tech Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: Be a primary advisor for clients Create actionable AI strategies to solve complex business problems/challenges Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions

Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: * A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI * A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team * The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value * Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… * Commercial impact * We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: * Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. * Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: * Lead Umain’s strategy in AI/ML * Be the client-facing expert * Represent Umain AI within Eidra AI Solution Architecture: * Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs * Help teams choose the right tech * Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: * Be a primary advisor for clients * Create actionable AI strategies to solve complex business problems/challenges * Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: * Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes * Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. * Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: * You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations * You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs * You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies * You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams * Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions

Company description: Ericsson AB Job description: Join our Team About this opportunity: We are looking for a Data Scientist to join our Data Management team within BNEW RCE LO Hardware Management. In this role, you will build AI and Analytics solutions end-to-end – from data collection and preparation to deployment – in close collaboration with teams across BNEW and other parts of Ericsson.   As a Data Scientist, you will develop methods, processes, and systems that turn data into actionable insights to enable business value creation. You will be part of the team driving our overall data strategy and will work across several teams to solve business problems through building data pipelines, identifying trends and patterns, and applying predictive analytics and advanced AI.   What you will do: Execute and evolve our AI and analytics strategy within Hardware Management Design and implement data pipelines from source systems to analytical and AI solutions Develop and deploy machine learning, LLM-based and advanced analytics models (including RAG and agentic AI frameworks) to solve complex business challenges Build and maintain APIs and services to operationalize AI and analytics solutions Work closely with stakeholders to understand business problems, define data requirements, and propose appropriate analytical approaches Translate data insights into clear recommendations and drive adoption together with business stakeholders Contribute to continuously improving our data strategy, data governance and ways of working Collaborate in a global environment, interfacing with different areas in Ericsson and sharing best practices   The skills you bring: A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines Proven academic training in statistics Deep/broad knowledge in machine learning, statistics, optimization, or related fields Strong analytical and conceptual problem-solving skills, including the ability to structure and resolve ambiguous problem statements Ability to understand underlying business problems and translate them into data requirements and suitable analytical approaches Ability to orchestrate and propose different technologies (AI, automation, integration and data solutions) to solve complex business challenges Solid Python knowledge for data science (data processing, modeling, visualization, and deployment) Experience working as a data scientist Experience with LLMs, RAG architectures and agentic AI frameworks Experience in building and integrating APIs Good understanding of Ericsson, its business areas and how data and AI can create value in a network/hardware context is a plus. Strong collaboration skills and team spirit, with a proactive, curious and positive learning mindset   If you recognize yourself in this profile and want to work with cutting-edge AI and analytics in a global technology leader, we look forward to your application.

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Neo4j is the world’s leading graph database, and our Solutions Engineering (PreSales) team plays a pivotal role in helping customers unlock its potential every day. Neo4j has established itself as a premier data and AI platform for enterprise use cases across Knowledge Graphs, Network & Grid Topology, Root-Cause & Impact Analysis, Fraud & AML, Customer 360, Asset Intelligence, and modern AI workloads including GenAI, LLM-driven applications, and emerging Agentic AI architectures. As part of Neo4j's Solutions Engineering (PreSales) organization, you will work directly with strategic and enterprise customers in the Nordics across several key verticals — including Financial Services, Public Sector, Energy & Utilities, High-Tech Manufacturing, and Telecommunications.You’ll provide technical and architectural leadership, helping customers design Neo4j-powered solutions that deliver measurable business value. The role of a Solutions Engineer (PreSales) encompasses a broad range of responsibilities, starting with understanding a customer’s unique requirements and environment. You’ll translate these into tailored solution architectures that incorporate Neo4j’s advanced graph technology, guiding stakeholders throughout the sales cycle. Daily work includes demonstrating Neo4j’s capabilities, whiteboarding solution designs, and engaging with technical decision-makers to align solutions with their strategic priorities. You’ll bridge the gap between business and technology, combining technical strength with the ability to articulate clear value and outcomes. The role is based in Stockholm, where we enjoy a beautiful, modern office space. We trust our team to manage their own time, so working from home is fully supported. However, because building strong relationships is core to what we do, you will need to be available in person for occasional customer meetings. MAIN RESPONSIBILITIES * Act as a central player in Neo4j PreSales engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption. * Build and nurture strong relationships with strategic and enterprise customer teams. * Partner closely with Account Executives to communicate the technical and business impact of graph solutions. * Ensure strong technical alignment and smooth integration of Neo4j into customer environments. * Provide architectural recommendations aligned with customer strategies and IT landscapes. * Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value. KEY ROLE CHARACTERISTICS * Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in High-Tech, Energy, Telecom, Financial Services, or Public Sector. * Data Platform Expertise: Strong understanding of data platforms, particularly databases. * Solution Design: Ability to translate business requirements into effective solution architectures. * Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.). * Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements. * Adaptability: Strong desire to learn and quickly adopt emerging technologies. * Problem-Solving: Passion for tackling complex technical challenges with innovative solutions. * Enablement: Ability to lead technical workshops and small-group sessions. * Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles. * Travel: Willingness to travel occasionally. * Languages: Fluency in both Swedish and English is required. BENEFICIAL QUALIFICATIONS * Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL). * Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks. * Experience with vector search, embeddings, or semantic retrieval. * Background in graph data science, network analysis, or ML pipelines. * ETL, data integration, or data virtualization expertise. * Familiarity with complex enterprise IT environments.     Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Job ID: 4043 Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI. We’re seeking a Technical AI Safety Specialist to build deep, hands-on technical expertise in the engineering-heavy risk areas that come with scaling AI and agentic systems across topics like AI gateway architecture, MCP servers and agentic tooling, red-teaming methodology, evaluation frameworks, and the cybersecurity implications of new AI capabilities. You’ll partner closely with engineering, architecture, and information security teams to turn that technical understanding into pragmatic governance guidance, technical risk assessments, and internal white papers. This role sits within the AI Safety team, which brings together architectural governance, AI risk operations and advisory capabilities to enable safe, trusted and compliant AI across Nordea. As AI and agentic systems become more complex, the team needs stronger technical expertise to understand how these systems are designed, secured, evaluated and operated, and to translate that understanding into practical guardrails, risk assessments and guidance. Nordea is a place where traditions meet tomorrow. We're not just a bank; we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.  This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Copenhagen, Denmark, or Stockholm, Sweden. About our team  Meet the AI Safety team, part of AI Portfolio Delivery within Group AI, responsible for enabling safe, trusted and compliant AI across Nordea through efficient, scalable and holistic risk governance. AI and agentic systems are moving fast, and so is our remit. We’re building deeper technical capability so that our governance keeps pace with new architectures, tooling, and emerging risks, helping to streamline AI deployment and maintenance while ensuring effective risk management and regulatory adherence. Our culture emphasizes collaboration, continuous learning, and innovation in an open environment where diverse ideas thrive. We support each other's growth while pushing technology boundaries, prioritizing work-life balance, and open communication.  What you will be doing: Build and maintain deep technical knowledge of engineering-heavy AI risk areas, including AI gateways (e.g. Kong), MCP servers and agentic tooling, evaluation frameworks, and red-teaming methodology Partner with engineering, platform, and cybersecurity teams to understand how AI and agentic systems are built and operated, and translate that understanding into governance guidance Track emerging AI developments and assess the technical and security implications of new capabilities, protocols, and attack surfaces Author technical white papers, position papers, and risk assessments on AI infrastructure and emergent risk topics, written for both technical and non-technical audiences Contribute technical input to governance frameworks, evaluation criteria, and technical controls for AI systems, without owning their day-to-day implementation Engage with senior technical stakeholders across the organisation to pressure-test governance approaches against real engineering constraints Act as a technical peer to engineering and cybersecurity teams in cross-functional discussions on AI security protocols and technical controls Help shape what technical AI safety expertise should look like as the team’s scope and remit continue to evolve Translate deep technical understanding into governance positions, RACI, and decision processes that first- and second-line stakeholders can act on Who you are  You have a technical/engineering background and enjoy going deep on hard technical problems. You may not write production code day to day anymore, but you can hold your own in a conversation with a platform engineer about gateway architecture, or with a security engineer about red-teaming an LLM. You’re comfortable operating in ambiguity – this role and team will keep evolving as the AI landscape does – and you’re good at translating technical depth into guidance that non-technical stakeholders can act on. We're looking for someone with most of the following experience and skills: BSc or MSc in Computer Science, Software Engineering, Cybersecurity, or a related technical discipline 5+ years of experience in software engineering, platform engineering, security engineering, or a similar hands-on technical role 5+ years of experience working with AI/ML system architectures, including how models, data pipelines, and infrastructure fit together Experience with API gateways or similar infrastructure (e.g. Kong) and/or agentic protocols such as MCP Understanding of cybersecurity principles as they apply to AI and agentic systems, including common attack surfaces Familiarity with red-teaming or adversarial testing approaches for AI systems Hands-on experience with cloud platforms (e.g. AWS, GCP) in an AI context Ability to communicate technical depth clearly to both technical and non-technical stakeholders It would be ideal if you also have: Experience with AI evaluation frameworks or model/system testing methodologies Experience writing technical white papers, research summaries, or position papers Exposure to AI governance, risk, or compliance work, and an interest in bridging it with engineering Understanding of regulatory frameworks for AI in financial services or other regulated industries Experience with vendor or third-party technical risk assessments for AI platforms Familiarity with data governance and privacy considerations for AI systems We encourage applications from candidates who are passionate about the technical side of AI safety and meet most of these criteria. If this sounds like you, get in touch! Next steps We kindly ask you to submit your application as soon as possible, but no later than 16/08/2026. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered. If you have any questions about our recruitment process, please reach out to our tech recruiter and main point of contact anna.dahlstrom@nordea.com.

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: * ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. * ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. * ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK * High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. * Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. * AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. * Excellence everywhere: Everything we do should match the quality of our AI models. * Global team: We prioritize your talent, not your location. WHAT WE OFFER * Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. * Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. * Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. * Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. * Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. * Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: * Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. * Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. * Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. * Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. * Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. * Scope out potential applications in new industries and expand our AI solutions across different sectors globally. * Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. * Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. * Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. * Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements * 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. * Experience in product development, delivery, and change management * Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. * Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. * Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. * A proven track record of taking ownership of complex, ambiguous projects and delivering results. * Adaptability to work across different customer environments, industries, and technical use cases. * Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. * Ability to creatively map enterprise use cases and workflows to AI systems

What you will do Perform independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks. Develop challenger models. Review and challenge first-line fraud model methodologies, assumptions, and implementation choices (e.g., scikit-learn, LightGBM, graph models, anonaly detection techniques, GenAI components). Build and deploy agentic AI tools to support model validation workflows — automating review of model documentation and code, surfacing risks and inconsistencies. Assess model performance using appropriate fraud metrics (e.g., precision/recall, ROC-AUC, PR-AUC, cost-sensitive metrics, fraud rate capture, business impact trade-offs). Evaluate model stability, drift detection, retraining strategies, and production monitoring practices. Independently replicate model results where necessary and conduct challenger analyses to assess model robustness and limitations. Review large-scale transaction datasets and feature pipelines (e.g., >100M transactions, hundreds of features) to assess data representativeness, leakage risks, and bias. Evaluate model governance documentation, explainability approaches, and transparency — including regulatory compliance related to model risk, fairness, and data privacy. Validate new technologies applied in fraud detection, such as Graph Networks, Behavioral Biometrics, Anomaly Detection, and GenAI-based systems. Assess controls around CI/CD pipelines, deployment processes (e.g., Docker, Jenkins), and cloud environments (e.g., AWS SageMaker, S3, Athena, Lambda). Develop and maintain validation frameworks, testing standards, and model performance monitoring tools (e.g., SQL, PySpark, Python-based validation libraries). Collaborate closely with first-line fraud data scientists, ML engineers, product, and business stakeholders to ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and external regulatory expectations. Stay up to date with evolving fraud typologies, emerging ML/AI techniques, and regulatory developments in model risk management. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Engineering. 3+ years of hands-on experience in fraud-related modeling (e.g., transaction fraud, account takeover, identity fraud, payments fraud etc). Strong expertise in machine learning methods used in fraud detection, including tree-based models (e.g., LightGBM), anomaly detection, graph/network models, and advanced ML techniques. Deep understanding of the end-to-end ML lifecycle — from conceptual design and feature engineering to production deployment and monitoring — with the ability to critically challenge each stage. Strong programming skills in Python and SQL; experience with PySpark/Spark and large-scale data processing. Experience building agentic AI workflows. Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Lambda, S3, Athena) and production deployment workflows. Strong knowledge of model validation principles, model risk governance frameworks, and regulatory expectations. Experience assessing model bias, fairness, explainability, and privacy risks. Excellent analytical thinking and structured problem-solving skills, with the ability to assess complex models and clearly articulate risks and limitations. Strong communication skills, capable of translating technical findings into clear, actionable insights for senior stakeholders and non-technical audiences. Ability to work independently while constructively challenging first-line teams in a collaborative manner. Awesome to have Experience in BNPL, credit cards, payments, or other transaction-heavy financial products. Experience validating models in highly regulated environments. Experience mentoring junior validators or leading validation reviews. Exposure to inference of rejected transactions and understanding of fraud/credit overlap. Familiarity with AI governance frameworks and emerging AI regulatory requirements.

For us, tech has never been about just hardware or software. It’s about people. It’s our meaningful relationships, deep expertise and practical know-how in technology that drive what we do. We put our customers, our partners and the environment at the heart of everything we do and our people are the difference that make the difference. At boxxe, we understand, we collaborate, we simplify, we care and we deliver; together we are making tech human. YOUR MISSION 💪 The Principal Architect plays a key role in driving growth across the Cloud & Infrastructure Practice. We’re looking for a highly technical leader to shape our solutions and services strategy alongside the Practice Director. You’ll act as the technical authority across Professional and Managed Services, guiding technology choices and leading our approach across key vendors. You’ll introduce new technologies, evolve our capabilities, and stay highly visible with internal and external stakeholders. This role is ideal for a senior or lead consultant ready to step away from day‑to‑day delivery and move into a strategic and forward‑looking position. WHAT YOU’LL BE DOING 🎯 * Build and maintain technical relationships with key stakeholders within customers and strategic vendors * Serve as technical authority across Professional Services and Managed Services for post‑sale customer engagements. * Provide senior‑level technical escalation for the PMO and Managed Service operations teams. * Collaborate with Professional and Managed Services leadership to implement new and improve existing service models. * Support the Practice Director on technical strategy and emerging technology adoption. * Taking a leading role in creating and embedding new packaged service offerings. * Build and maintain technical training and certification pathways for technical team skills development. * Undertake knowledge sharing and technical mentoring to aid skills development across technical teams. * Define, maintain, and standardise documentation, operating procedures, and implementation best practices. * Oversee demo and training lab environments for the Practice, support customer demonstrations as needed. * Collaborate with the ‘boxxe Labs’ product team to expand the portfolio of in-house developed software platforms that differentiate us in the market. WHAT EXPERIENCE WE THINK YOU’LL NEED 🚀 * 5+ years’ experience in a senior or lead consultant role, implementing large and complex infrastructure solutions in customer environments * Knowledge of key cloud technologies (cloud services, compute, data, storage, virtualisation,) * Certified to expert level in at least one of Microsoft Azure, VMware, Dell, and/or HPE. * Familiarity with infrastructure-as-code and IT automation tools * Strong organisational skills * Excellent quality of documentation * Exemplary communication skills * Flexibility to travel throughout the UK when needed * Matured commercial awareness * Ability to influence customers, vendors, and colleagues * Familiarity with any AI/ML frameworks, Kubernetes, or other cloud services (AWS, GCP etc.) is a benefit     >  As an equal opportunity employer, we are committed to building a team that represents a variety of backgrounds, perspectives, > and skills. boxxe does not discriminate based on race, religion, colour, national origin, sexual orientation, gender identity, > age, marital status, veteran status, or disability status. All our employment is based on qualification, excellence, and > business need.

ABOUT PLUVIOFLOW PluvioFlow is a startup building a web-based GIS application for water flow simulation to help communities plan for and manage extreme weather risks. We work with city planners, technical consultants, insurance firms and humanitarian organisations who need to identify flooding risk by running scenarios and helping them evaluate appropriate intervention to protect what matters most. WHY JOIN US? You’ll be an early hire working close to the CTO and Head of GIS, helping shape product and engineering practices in a purpose-driven company. THE ROLE We’re hiring a backend developer who can operate comfortably in a DevOps-oriented team—owning backend development while also improving and running cloud deployments, CI/CD, and operational reliability. Our stack includes .NETand Azure, and we also use SolidJS/TypeScript in the product. WHAT YOU’LL DO BACKEND ENGINEERING & SYSTEM DESIGN * Build and maintain C#/.NET APIs and backend services. * Make pragmatic architecture decisions: scaling, caching, queuing, performance optimization, and reliability trade-offs. * Write clean, testable code and raise engineering quality via reviews, testing, and good defaults. CLOUD, DEVOPS & CI/CD (HANDS-ON) * Improve and own CI/CD pipelines (Azure Pipelines or equivalent) and release processes. * Work with Azure infrastructure (preferred): deployments, observability, operational tooling, and cost-aware reliability. * Containerize services with Docker; help mature deployment patterns. DATA & PLATFORM FUNDAMENTALS * Work with PostgreSQL (or similar) including schemas, migrations, and safe production changes. * Collaborate closely with engineering/product to deliver end-to-end improvements. MUST-HAVE QUALIFICATIONS * C# / .NET: strong experience building APIs and backend services. * Azure (preferred) or equivalent cloud infrastructure experience. * System design and performance intuition * DevOps & CI/CD: Azure Pipelines or similar; understands CD and safe releases. * Database fundamentals: PostgreSQL (or similar), migrations, schemas. * Docker. * Unit testing and practical engineering quality habits. * Comfortable working in Scrum/Agile environments. GOOD-TO-HAVE QUALIFICATIONS * Kubernetes (AKS or similar) and production operations patterns. * GIS / geospatial experience, especially PostGIS. * Proficiency in modern frontend development (e.g. SolidJS or similar frameworks). * AI as a tool across the dev cycle (building, testing, debugging, analysis, design) * Familiarity with VLMs / visual language models. WHO YOU ARE * Fluent in English: Our technical working language is English so you must be fluent in reading, writing and speaking. Swedish is not a strict requirement, but a big plus. * Passionate: You're driven by a desire to make a positive impact on society and the environment. * Collaborative: You thrive in team settings and value diverse perspectives. MOST IMPORTANT: Eager to Learn: Whether you have all the listed skills or not, you're excited to grow and adapt. We know we don’t have all the answers, but we’ll figure them out together! PRACTICAL INFORMATION * Location: Lund (hybrid, 2–3 days in the office per week). * Start date: As soon as possible. * Flexibility: We offer a high degree of autonomy with flexible working hours and the option to work remotely when needed. READY TO MAKE A DIFFERENCE? If you're excited about using your skills to help society navigate climate change risks, we'd love to hear from you! Send us your CV or LinkedIn profile and a short summary of relevant backend, CI/CD, or cloud work you’ve been involved in. Even if you don’t meet all the requirements but feel inspired by our mission, don’t hesitate to get in touch. If you have any questions about the role, please email Jonatan at contact@pluvioflow.com. Applications are reviewed on an ongoing basis, so we encourage you to apply as soon as possible. PluvioFlow is an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives. Together we can make a lasting impact.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and agent-based solutions that create measurable business impact. We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and occasionally in Europe. WHAT YOU'LL DO AI ENGINEERING LEADERSHIP * Lead the design and delivery of enterprise AI applications, copilots, assistants, and agentic solutions. * Define implementation strategies that align AI capabilities with business objectives and user needs. * Guide teams in building scalable AI workflows, retrieval systems, orchestration layers, and tool-integrated experiences. * Drive best practices across prompt engineering, retrieval-augmented generation (RAG), tool calling, context management, testing, observability, and evaluation. * Ensure high-quality, maintainable, and secure AI implementations. CLIENT & STAKEHOLDER ENGAGEMENT * Partner with clients to understand business challenges and identify AI-powered opportunities. * Translate ambiguous requirements into practical implementation approaches and technical roadmaps. * Act as a trusted advisor during workshops, discovery sessions, and executive presentations. * Collaborate closely with Data Scientists, Data Engineers, Architects, Analytics Engineers, Product teams, and business stakeholders. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related fields. * 2+ years of experience leading technical teams or managing engineering professionals. * Strong experience building AI-powered applications and LLM-enabled solutions in production environments. * Hands-on experience designing and implementing: * Generative AI applications * Agentic workflows * Retrieval-Augmented Generation (RAG) solutions * Tool-calling and workflow orchestration patterns * API-driven integrations * Advanced Python development experience. * Experience working with Microsoft Azure * Experience working with cloud-based AI platforms and services. * Strong stakeholder management and communication skills. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience delivering AI solutions within consulting, digital agencies, or enterprise environments. * Experience leading multiple workstreams simultaneously across clients or business units. * Familiarity with AI governance, responsible AI practices, security, and privacy considerations. * Knowledge of evaluation frameworks for AI applications and agentic systems. * Experience supporting distributed, international engineering teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Delivering scalable, production-ready AI solutions that generate measurable business value. * Building high-performing AI Engineering teams through coaching and mentorship. * Promoting reusable implementation patterns and engineering best practices. * Ensuring reliable, secure, and responsible AI adoption across projects. * Strengthening Valtech's leadership position in AI-powered digital transformation. ---------------------------------------------------------------------------------------------------------------------------------- If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on experience and location.  Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. ----------------------------------------------------------------------------------------------------------------------------------

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us, and let the world feel your work. As a Security Engineer at Epidemic Sound, you will help keep the company safe across three connected surfaces: the products our customers use, the platform our engineers build on, and the systems our employees rely on every day. This is a broad, generalist role where your work directly shapes how an industry-leading company with a startup mentality manages risk and builds securely at scale. Building security automations and custom AI agents is a normal part of how the team operates, and you will be expected to do the same. You will sit within the Business Tech Division and report to the Head of Security, working closely with engineers, SRE, IT, Legal, and People teams across the organisation. YOUR KEY RESPONSIBILITIES INCLUDE * Own the vulnerability management programme across our products, cloud, and corporate estate: discovery, prioritisation, remediation tracking, and reporting. * Consolidate findings across our detection stack into a single risk picture. * Partner with software engineers to grow the Secure Software Development Lifecycle, including code reviews, threat models, and pre-ship security input. * Harden the GCP estate, Kubernetes platform, and CI/CD systems our engineers depend on. * Run vendor security reviews and respond to enterprise customer security questionnaires. * Operate and tune the Elastic SIEM and broader detection stack, building new detections as the threat picture evolves. * Respond to security incidents including on-call, and run training exercises to keep the team ready. * Build and run security agents and automations that other engineers and the wider business rely on, treating them as production-grade software. * Evaluate AI models and frameworks against security standards. REQUIREMENTS * Around five years in security engineering, with depth in at least one of application security, infrastructure security, enterprise security, or vulnerability management, and solid breadth across the others. * Hands-on experience running or contributing to a vulnerability management programme, including prioritisation, SLA setting, remediation tracking, and reporting. * Working knowledge of SCA/SAST tooling, Internal Developer Portals, and SIEM; we use Snyk, Port, and Elastic. * Working knowledge of the security features of the major public cloud providers, with GCP preferred. * Comfort with Kubernetes, Docker, or other container architectures. * Confident with at least one programming or scripting language such as Python, Go, or Bash. * Solid experience with Git, GitHub Actions, and Terraform. * Active, daily use of AI and agentic tools, with concrete examples of agents you have built and outputs you have shipped. * Experience with vendor security questionnaires. * Familiarity with common security frameworks such as PCI DSS and NIST. IT WOULD ALSO BE MUSIC TO OUR EARS IF YOU HAVE * Penetration testing background or OWASP Top 10 fluency. * Experience with CI/CD security hardening at scale. * A track record of building security tools other engineers want to use. * Experience reporting vulnerability management and security posture metrics to leadership. * Familiarity with social engineering attacks, especially phishing, and the controls that reduce them. Equal opportunity employer We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. Application Ready to make the world feel your work? Please apply, in English.