AI Architect

You’re an experienced AI architect who wants to turn applied AI into scalable, production-grade systems while helping clients create tangible business value.

As a senior consultant, you will 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 affects their products, workflows, and technical systems, then turn those insights into solutions that are scalable, observable, and trustworthy.

Your time will be divided between client assignments and Knowit Connectivity’s AI Advisory Team. Together with senior AI specialists, architects, and business leaders, you will shape AI strategy, develop internal capabilities, evaluate emerging technologies, and establish practical ways of working with AI across the organization.

Your work may include:

• Designing AI-native architectures and intelligent systems

• Building and deploying LLM-based applications and RAG solutions in production

• Creating agent-based workflows and autonomous system behaviors

• Defining governance, observability, monitoring, and evaluation strategies

• Integrating AI into existing products, platforms, and business processes

• Guiding clients through technical and organizational decisions involving performance, reliability, cost, and control

You bring senior-level, hands-on experience in applied AI and can move comfortably between strategic discussions, architecture decisions, and implementation. You also understand the demands of consulting and can help clients navigate both technical and organizational challenges.

We believe your background includes several of the following:

• Building production applications with large language models

• Retrieval-Augmented Generation, vector databases, and complex information sources

• Agent frameworks and orchestration platforms

• System architecture, distributed systems, and large-scale software development

• Python or a comparable programming language

• Azure, AWS, or GCP, including evaluation, monitoring, and optimization of AI systems

Experience in enterprise architecture, platform engineering, or data engineering is highly valuable. You stay curious as the AI landscape evolves, apply new technology pragmatically, and recognize that strong AI systems require more than a successful prototype.

You will solve real business problems with clients at different stages of AI maturity, from early exploration to implemented solutions. The assignments offer variety across projects and industries, giving you opportunities to build both breadth and depth over time.

Knowledge sharing is part of the everyday engineering culture. You will collaborate with experienced colleagues, influence client solutions, and contribute directly to how Knowit develops its AI capabilities and offerings. A formal development roadmap makes continuous AI learning and capability building part of your professional growth.

If you have built real solutions with LLMs and want to help shape how AI is applied across engineering, products, and organizations, we would like to hear from you. Submit your application and tell us about the experience and perspective you would bring to the role.

Work with us at Knowit Connectivity, where we develop technically advanced systems within embedded and connected solutions. With us, you will work on complex products alongside experienced engineers on assignments at the forefront of technology.

Knowit is a Nordic consultancy that helps companies, public sector organizations, and businesses succeed in digital transformation. With expertise in software development, AI, cybersecurity, cloud services, digital customer experiences, and management consulting, we create solutions that contribute to a more sustainable and human-centered society.

We are approximately 3,700 employees working across our business areas – Solutions, Experience, Connectivity, Insight, and Products – primarily in the Nordics, as well as in Poland, Serbia, and Germany.

We don’t wait for the future. We build it.