Senior AI Solutions Engineer
At-a-Glance
- Senior hands-on role inside a growing AI Solutions Engineering function
- Building agentic and LLM-driven workflows on a proprietary AI operating system
- Python, large language models, retrieval augmented generation, agent orchestration
- AI deployed into defence and national security settings, not internal demos
- Share options and direct access to founders
About the Company
My client is a UK sovereign AI company building an AI operating and orchestration layer that puts intelligent systems to work in some of the most demanding environments in the country, spanning defence, national security, policing and financial services. The platform is already in service with UK Strategic Command. The engineering group is small, senior and unusually fast moving, with AI tooling built into how the team genuinely works rather than bolted on afterwards.
The Role
This role sits in the AI Solutions Engineering team, the group that takes the core platform and turns it into working, deployed capability for customers. You will design AI workflows, build retrieval and agent pipelines, and prove they hold up under scrutiny in environments where approximately right is not good enough. There is real autonomy here... you will own technical decisions end to end and be the person both the customer and the engineering team rely on. It suits someone technically strong, commercially aware and comfortable being the only AI expert in the room.
Key Responsibilities
- Design and build AI-driven workflows and agentic pipelines on the core platform
- Translate ambiguous customer problems into deployable technical solutions
- Own retrieval, prompting and orchestration design decisions end to end
- Build evaluation harnesses that prove solution quality before anything reaches production
- Partner with customers through discovery, proof of concept and live deployment
- Feed recurring solution patterns back into the core product roadmap
- Mentor engineers joining the Solutions Engineering function
- Represent the technical story credibly to senior customer stakeholders
What You'll Need
Essential:
- 5+ years in software engineering, applied AI or solutions engineering
- Strong Python and hands-on production experience with large language models
- Practical experience with retrieval augmented generation and agent frameworks
- Evidence of using AI development tooling as part of your daily working practice
- Comfortable working directly with demanding external stakeholders
- Eligible for UK security clearance
Desirable / Nice to Have:
- Exposure to defence, national security or another high-consequence regulated sector
- Experience with LLM evaluation frameworks such as RAGAS, DeepEval or LangSmith
Why Apply?
- Small senior team where your technical decisions carry weight immediately
- Share options as part of the package
- Genuine AI-first engineering culture, with modern tooling expected and encouraged
- Flexible working pattern
- Clear route into technical leadership as the Solutions function grows
- Direct access to founders and senior leadership
Next Steps
If this looks like your kind of problem, send your CV to Brendan McCrory at Happy to have a straight, no-pressure conversation about it first if you would rather.