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You will remain hands-on while guiding engineers, making architecture decisions and ensuring solutions are secure, reliable and ready for production.\n\nKey Responsibilities:\nOwn solution design and technical delivery for conversational AI, RAG applications and agentic systems.\nDesign and implement multi-agent workflows covering planning, retrieval, tool execution, memory and evaluation.\nDefine retrieval architectures using vector search, hybrid search and, where appropriate, graph databases.\nBuild and integrate scalable AI services with enterprise applications, APIs and cloud platforms, primarily Azure.\nEstablish LLMOps practices covering prompt and model versioning, CI/CD, automated evaluation, monitoring and regression testing.\nImplement access controls, auditability, privacy safeguards and responsible AI guardrails.\nOptimise accuracy, latency, reliability and cost using production metrics and user feedback.\nTranslate business requirements into technical solutions, lead 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