Senior Applied AI Solution Architect

Knowit AB (Publ)

We’re building real-world AI systems – not just prototypes. If you’ve worked hands-on with LLMs and want to take the next step, we should talk. At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients. About the role As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments. You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders. Typical work includes: Designing end-to-end architectures for AI-powered systems Building and deploying LLM-based applications in production Implementing RAG pipelines over large and complex data sources Developing agent-based workflows and orchestration logic Integrating AI capabilities into existing systems and platforms Evaluating, optimizing, and scaling AI solutions (latency, cost, quality) What we’re looking for We’re primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs (e.g. OpenAI, open-source models) Retrieval-Augmented Generation (RAG) and vector databases Designing production-ready systems (APIs, pipelines, integrations) Python or similar programming languages Working with frameworks like LangChain, LlamaIndex, or similar Prompt engineering, evaluation, and iteration in real-world use cases Experience with system architecture, cloud platforms, or data engineering is a strong plus. Who you are You’re someone who: Has moved beyond demos and wants to build systems that are actually used Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation Is comfortable taking ownership and guiding technical direction Wants to stay at the forefront of how AI is applied in practice You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation. Why join us At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.

Knowit Aktiebolag (publ)

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

EdZa AB

Are you an experienced fullstack engineer who wants to build modern, cloud-based systems that help combat financial crime? This role offers the opportunity to work across the full stack, influence architecture, and collaborate closely with product and engineering teams to deliver scalable, high-impact solutions within the Anti-Money Laundering domain in a fast-moving RegTech environment.  About Verified Verified started with solutions for electronic signing, identity verification, and contract management. In close collaboration with its customers, the company has since evolved into a RegTech provider of digital workflows for Anti-Money Laundering and supplier due diligence. The platform is API-first and delivered as SaaS and PaaS, built for secure and scalable cloud-based services across electronic signing, electronic identification and AML capabilities. An “AI-first” approach is also being adopted, with AI agents and services integrated both internally and into customer-facing products. The team consists of dedicated colleagues across the Nordics and Europe and the company culture is built on shared ownership, where all employees contribute to building the future of Verified and take responsibility for what is promised and delivered, both internally and in customer collaborations. These values have been central to the company’s journey so far and will continue to be important as it grows and aims for even higher goals. About the role and the team As a Senior Fullstack Engineer in the AML domain, you will play a key role in building and evolving Verified’s cloud platform for secure and scalable trust services. You will work across both frontend and backend services running in AWS, contributing to systems that support critical compliance workflows. You will join a high-autonomy, cross-functional team where ownership is shared and the full lifecycle of core services is handled collectively. The team is responsible for designing, building, deploying, and operating services end-to-end, with a strong focus on scalability, security, and time-to-market. Working in an agile environment, you will collaborate closely with product owners, designers, QA, and other engineers to deliver robust and high-quality solutions. Key responsibilities include: Design, develop, and maintain scalable cloud-based systems in AWS Build and evolve REST APIs and modern web applications Contribute to architecture and technical decisions Improve scalability by decoupling dependencies and reducing time-to-market Integrate AI capabilities such as AI agents and RAG into products and workflows Troubleshoot, debug, and resolve production issues Drive engineering quality through code reviews, testing, CI/CD, and best practices Contribute to continuous improvement in architecture and engineering practices About you We believe you are a self-driven fullstack engineer who thrives in high-autonomy environments where you take end-to-end ownership of complex systems. You are comfortable working across the stack in modern cloud-based SaaS products and enjoy building scalable and secure solutions with real business impact. You are curious about how modern technologies, including AI, can be applied both in products and across the development lifecycle. You are comfortable working with technical trade-offs and contributing to improvements in system design, performance, and developer experience. To succeed in this role, we believe you likely bring: 10+ years of experience as a Fullstack Engineer in cloud-based SaaS environments Strong experience working with Node.js, TypeScript, and modern frontend frameworks such as Vue.js Experience building REST APIs and API-first or distributed systems Hands-on experience with cloud platforms such as AWS Good understanding of system design, security, and modern application architecture Experience or interest in working with AI tools in development workflows Professional proficiency in English, both written and spoken It is a plus if you also have experience from FinTech/RegTech or other regulated environments, as well as experience integrating third-party data sources. Pracitical Information Start: According to the agreement Extent: Full-time Location: Solna We look forward to receiving your application! Do you think this role could be a good fit for you, or perhaps someone you know? We review applications on an ongoing basis and may fill the position before the final application deadline, so don’t hesitate - submit your application today. The recruitment process is handled by Ed:Za Group. If you have any questions or concerns regarding the role or the process, you are warmly welcome to contact us.