Senior AI Engineer

We are seeking 2 x Senior AI Engineers for one of the biggest insurance companies in the UK, on 12 month fixed term contracts. (with opportunities to stay with the business further).

You will be embedded to design, build, deploy, and operate production grade AI-enabled applications that consume standardised GenAI services. You will work closely with GenAI Engineers, Platform Engineers, Product, Architecture, and Business Delivery teams to translate business problems into secure, scalable, resilient AI-powered solutions.

The role demands strong software engineering fundamentals, deep DevOps capability, and hands-on experience delivering cloud-native applications at scale, with AI embedded as a core capability rather than a proof-of-concept. This is a delivery-focused role with full lifecycle ownership - from design and build through to deployment, monitoring, and operational support.

Your Responsibilities

• Design, build, and maintain AI-enabled applications that consume GenAI capabilities from client GenAI platforms (e.g. LLM, RAG, summarisation, classification, and extraction services).
• Develop production-grade microservice and/or full-stack applications usingcloud-native and API-led architectures, integrating AI capabilities in a secure, reliable, and cost-aware manner.
• Own end-to-end delivery of AI applications, including local development, CI/CD deployment, runtime monitoring, and incident resolution.
• Build and maintain robust DevSecOps pipelines with automated testing, security scanning, and infrastructure-as-code; implement observability, logging, metrics and alerting to support live production workloads.
• Collaborate with client GenAI Platform Engineers to feed back application-level findings, constraints, and improvement opportunities.
• Work with UX, Product, and Business teams to ensure AI applications are usable performant, and aligned to client business outcomes.
• Participate in design reviews, architecture forums, and technical documentation; support ongoing optimisation of performance, cost, and scalability of AI-enabled applications in production.

• Strong software engineering background, with proven delivery of complex distributed, microservice-based systems that embed AI or ML capabilities.
• Strong programming capability in one or more of: Java, Python, or Node.js (backend); React, Angular, or TypeScript (frontend/full-stack); and solid experience integrating applications via REST and async/event-driven APIs.
• Excellent DevOps capability: CI/CD pipeline design and automation, infrastructure-as-code (Terraform, CloudFormation or equivalent), containerisation and orchestration (Docker, Kubernetes/EKS).
• Experience operating applications in cloud environments (AWS and/or Azure), with strong command of non-functional requirements: security, resiliency, scalability, performance, and observability.

Employee discount, Gym membership, Life insurance, Company pension, Health & wellbeing programme, * Company pension

• Employee discount
• Gym membership
• Health & wellbeing programme
• Life insurance

Work authorisation:

• United Kingdom (required)