Responsibilities Own the architecture and technical delivery of complex GenAI engagements or major workstreams, from design through production rollout. Lead cross-functional delivery teams (architects, engineers, data specialists) across the engagement lifecycle. Ensure solutions are enterprise-grade: scalable, secure, resilient, performant, and cost-optimized in production. Drive delivery governance: architecture decisions, technical risk management, dependencies, quality gates, and blocker resolution. Apply and extend engineering standards, reusable frameworks, and accelerators to improve delivery velocity and consistency. Own technical outcomes and accountability for delivery quality, timelines, and measurable business impact within your scope. Technical Direction Define end-to-end generative AI architectures: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and enterprise integration. Architect solutions for high-value insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q uphold technical standards and build capability. Skills required Strong executive presence; comfortable influencing senior client stakeholders. A clear communicator who turns technical complexity into clarity and momentum. Hands-on delivery leadership; thrives on owning complex engagements end to end. Commercially minded and outcome-focused. To qualify for the role Master's in Computer Science, Engineering, or a related field. Experience in technology, with a strong track record delivering complex enterprise programs and 2+ years delivering production generative AI initiatives. Demonstrated experience owning architecture and delivery of enterprise-grade systems in production. Deep, hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent). Proven expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search). Experience with agentic architectures, function/tool calling, and structured outputs. Strong prompt engineering, evaluation, and LLM guardrail/safety experience. Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling. Solid understanding of scalable system design, API design, enterprise integration patterns, and secure handling of sensitive data. Strong grasp of responsible AI, model governance, and emerging AI regulation. Excellent communication and storytelling skills, able to make complex concepts accessible to senior, non-technical audiences. The following will be an advantage Desired Criteria Experience delivering GenAI solutions in insurance or broader financial services. Familiarity with insurance core platforms (Guidewire, Duck Creek, Sapiens) and document-heavy workflows (ACORD forms, loss runs, policy documents). Track record scaling GenAI from proof-of-concept to production. Relevant cloud or AI certifications (cloud architect, AI/ML specialty, TOGAF). Please note Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity
Senior Manager - AI Architect - AI Tech Transformation - TC - FS employer: Ernst & Young
EY is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a commitment to flexible working arrangements and a comprehensive Total Rewards package, employees can tailor their benefits to suit their needs while contributing to cutting-edge cyber security solutions in a rapidly expanding global practice. Join us in London, Manchester, or Scotland, and be part of a team that values collaboration, innovation, and making a meaningful impact in the world of cyber security.
