AI Platform Engineer

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London / £80000 - £90000 annum

INFO

Salary
SALARY:

£80000 - £90000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

AI Platform Engineer

Location: London (Hybrid 2 Days in Office)

Salary: £90,000

This is a rare opportunity to shape the foundations of an AI function at a pivotal moment in a company's transformation. You will play a lead role in building production‑ready AI systems that automate complex insurance journeys, with the freedom to influence architecture, engineering patterns and long‑term strategy.

The Company

They are a fast‑growing, tech‑led insurance provider specialising in complex and non‑standard risk. Their products are powered by a blend of smart technology and human expertise, enabling faster decisions, tailored coverage and scalable customer support.

With investment backing and a newly formed AI leadership team, they are now embarking on the next stage of their journey to become an AI‑driven insurer. This role represents one of the first senior hires into their AI team.

The Role

You will be responsible for:

  • Build and operate production‑grade AI agents on GCP using Google's ADK.
  • Integrate AI systems with policy, claims and CRM platforms through secure REST and JSON API services.
  • Develop scalable RAG pipelines including ingestion, text processing, metadata handling and vector search.
  • Implement observability and evaluation frameworks covering monitoring, A/B testing, accuracy and safety metrics, and cost and latency dashboards.
  • Contribute to architecture, engineering standards and AI product direction in partnership with the Head of AI.
  • Support the development of agentic automation across core claims workflows and internal tools.

Your Skills and Experience

  • Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems.
  • Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model Garden and ADK.
  • Strong Python skills for backend development, APIs and data processing.
  • Hands‑on experience with LLMs, embeddings, RAG design, vector databases and retrieval pipelines.
  • Experience deploying production AI with robust evaluation, monitoring, observability and automated testing.
  • Solid exposure to DevOps tooling including CI/CD, Docker and Kubernetes.

How to Apply

If this sounds like the right next step for you, please apply with your CV to begin the process.

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