Looking to build production GenAI products with measurable business impact?
Want to solve the challenges of deploying LLM applications across a large, regulated organisation?
Interested in joining a growing AI function with end-to-end ownership across multiple enterprise use cases?
A major UK financial services business is expanding its AI delivery capability and hiring a Senior AI Engineer. The wider MLOps function includes 12–15 engineers, with this role sitting within a small AI delivery team focused on building and productionising AI solutions across the business. Current projects include a RAG-based contact centre assistant, AI-supported complaints handling and extracting fraud signals from network graphs. You’ll join a fast-paced environment with significant autonomy across several active AI initiatives.
The Senior AI Engineer will design, build and productionise LLM-powered applications while working across engineering, data science, security and business teams. You’ll have end-to-end technical ownership with scope to influence architecture, technical recommendations and build-vs-buy decisions.
Key Responsibilities
- Design, build and productionise LLM and Generative AI applications
- Develop solutions using RAG, conversational AI and AI-driven workflows
- Own technical delivery from architecture through to production deployment
- Integrate AI applications with enterprise systems and data sources
- Make architectural recommendations and evaluate build-vs-buy decisions
- Partner with InfoSec and Data Protection teams on secure AI delivery
- Communicate technical decisions and trade-offs across engineering and business teams
Salary range
Up to £95,000 base + 15% annual bonus
Working model
Hybrid, 2–3 days per week in the London office
Tech stack
Production LLMs / Generative AI, RAG, AWS ideally. Further stack details not confirmed.
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