Lead AI Engineer
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Lead AI Engineer
£80,000 - £90,000
Sheffield (Hybrid, 1-2 days a week)
A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility.
THE COMPANY
They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment
THE ROLE
As a Lead AI Engineer you can expect to be involved in the following:
- Build production-ready AI agents on GCP using modern frameworks and Google's ADK.
- Develop scalable RAG pipelines spanning ingestion, text processing and vector search.
- Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs.
- Implement monitoring, evaluation, A/B testing and cost or latency dashboards.
SKILLS AND EXPERIENCE
The successful Lead AI Engineer will have the following skills and experience:
- Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery.
- Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling.
- Strong Python skills and experience developing APIs and production AI systems.
- Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks.
- Familiarity with LangChain, LangGraph or similar agentic frameworks.
- Solid engineering fundamentals including Docker, Kubernetes and CI/CD.
BENEFITS
The successful Lead AI Engineer will receive the following benefits:
- Salary between £80,000 - £90,000 - depending on experience
- Hybrid working with 1-2 office days in Sheffield.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.