Consulting

Umain AB

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

Redeploy AB

TL;DR → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands. → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product. A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling. Who you are You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included. You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it. You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity. What you bring Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills. About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

Berdiz Consulting AB

Master of Science in Engineering, combined with several years as a Project Manager, preferaly PMI-certified. You have between 20-35 years of experience. We are about 25 engineers with more than 400 years of experience together, mainly specialised on Analysis, Calculation, Control systems and Electronics. We work world wide, but mainly in Sweden. Proficiency in English as a working language is a must. Knowledge in Swedish is desired. As a consultant provide engineering competence and expert knowledge to our clients. Our clients are in the Swedish manufacturing industry The work tasks can sometimes be performed from our main office or from your home. However most of the work is usually performed at the client's site. We offer very competitive working conditions with extended flexibility. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.