We are seeking a Lead AI Red Teaming and QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release.Key ResponsibilitiesAutomated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak, Pyrit, and AgentDojo to enforce strict safety release gates.AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift.Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15, DORA, and FCA Operational Resilience guidelines.Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM), tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service.Required Technical SkillsRegulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks.AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG).AI Security and Fundamentals: Solid understanding of Foundation Models, tool use ..... full job details .....