Hybrid AI Platform Architect – Lead Real-World AI Solutions

Intact Insurance UK

Horsham

Hybrid

GBP 120,000 - 170,000

Full time

21 hours ago
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Benefits offered by this job

Annual incentive
Hybrid work
25 days leave
Flexible benefits
Share options
Mentoring
Inclusive culture

Job summary

Intact Insurance UK is building a new AI team in the Chief Data Office to shape the enterprise AI platform for its UK insurance business. You will lead the design and delivery of agentic AI, LLMs and ML in the cloud, with real products across underwriting, claims, pricing and data.

You will define patterns for AI agents, retrieval-augmented generation, and multi-agent workflows, mentoring engineers and ensuring security, governance and cost controls are embedded from the start.

Qualifications

  • Hands-on experience designing cloud/data platforms used by multiple teams.
  • Strong foundation in cloud security and IAM controls.
  • Experience deploying AI/ML platforms in production (AWS/Azure).
  • Familiar with LLM hosting, RAG and guardrails.

Responsibilities

  • Architect the platform end-to-end cloud architecture including model access and cost controls.
  • Define AI agent reference patterns and productionize them for business use cases.
  • Lead design reviews and document design decisions for governance.
  • Plan deployment, serving and migration of ML models onto the platform.

Skills

AI platform architecture
Cloud fundamentals
LLM/Agent frameworks
Security controls
CI/CD

Tools

AWS
Azure
Bedrock
SageMaker
Vector search

Job description

Intact Insurance UK is building a new AI team in the Chief Data Office to shape the enterprise AI platform for its UK insurance business. You will lead the design and delivery of agentic AI, LLMs and ML in the cloud, with real products across underwriting, claims, pricing and data.

You will define patterns for AI agents, retrieval-augmented generation, and multi-agent workflows, mentoring engineers and ensuring security, governance and cost controls are embedded from the start.

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