AI Engineer/Architect – LLM, RAG & Applied AI

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.