Quality Engineer - AI (Contract)

Quality Engineer - AI Platform Engineering Employment Type: Inside IR35 Contract Duration: 6 Months Rate: £650 - £750/ Day Location: Central London, Hybrid (3 Days Onsite per Week) Opportunity Overview A global organisation is building a centralised AI enablement and platform engineering function focused on delivering scalable, secure, and governed AI capabilities across the enterprise. This role sits within a programme delivering enterprise-grade agentic AI infrastructure, including internal AI assistants, retrieval and search services, extensibility frameworks, and governance tooling. Programme Overview The programme is focused on delivering a production-grade internal agentic AI platform, including: Development of an enterprise AI assistant capable of reasoning, planning, and tool orchestration Operation of enterprise retrieval, search, and grounding services for approved data sources Delivery of a secure internal gateway layer providing discovery, observability, policy enforcement, and lifecycle management for AI-integrated services Design and development of AI-integrated services and reusable capabilities that safely expose internal and third-party systems to AI agents Establishment of evaluation, governance, and quality-control frameworks to support scalable and compliant deployment of AI capabilitiesThe programme currently follows a centrally delivered model while evolving towards a federated contribution approach over time. Key Responsibilities Define and implement evaluation frameworks covering correctness, safety, reliability, and regression impact for AI-integrated services Develop and maintain automated test pipelines for agentic workflows, including tool orchestration and multi-step execution paths Identify, evaluate, and mitigate AI system failure modes such as hallucinations, invalid inputs, latency issues, and inappropriate tool usage Produce testing and governance evidence required for internal approval and operational processes Collaborate closely with ML Engineers and platform teams to embed testability and evaluation capabilities into AI services Contribute to the long-term quality assurance and governance strategy for enterprise-wide AI platform adoptionEssential Skills and Experience Strong Python development experience, particularly for automation and test frameworks Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines Expertise in automated testing across unit, integration, and regression testing environments Good understanding of agentic AI systems, associated risks, and operational failure modes Ability to assess technical solutions against governance, audit, and security requirements Experience working within regulated or highly governed engineering environmentsWhat's on Offer Opportunity to contribute to large-scale enterprise AI transformation initiatives Exposure to cutting-edge AI platform engineering and governance challenges Collaborative environment working alongside platform engineers, ML specialists, and architecture teams Influence over the development of long-term AI quality and governance standards Opportunity to shape scalable AI engineering practices within a complex enterprise environment