AI engineer in insurance

We are looking for motivated, curious, team-orientated individuals to join our market-leading Insurance AI delivery team, leveraging their knowledge of the Insurance sector and AI engineering skills to drive our clients’ growth and modernisation strategies forwards, especially as the use of AI, data and technology becomes more prevalent.

• As a Lead AI FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte’s most strategic clients.
• You’ll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team.
• You’ll translate engineering trade-offs into clear decisions for client leaders when needed.
• Drive the adoption of AI across the delivery lifecycle, helping teams use them effectively from planning and design through implementation and ongoing support.
• Serve as client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
• Navigate organisational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
• Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
• Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
• Mentor and develop junior FDEs
• Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms
• Set direction for prompt and context engineering, tool-use patterns, and human-in-the-loop controls
• Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
• Review and contribute to production-quality code, ensuring suitability for development and maintenance by autonomous coding agents.
• Guide architecture of data pipelines powering GenAI use cases
• Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices

• Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
• Extensive experience in software engineering, data engineering, data science, or analytics engineering.
• Proven hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
• Proven experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
• Proven experience leading project workstreams/engagements and translating business problems into AI solutions within the Insurance sector
• Proven experience building reliable, maintainable, and well-documented code
• Будет плюсом: Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking); Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments; Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation; Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management; Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures; Experience operating within hybrid onshore/offshore teams; Familiarity with security, privacy, and compliance considerations

• You’ll be based in London with hybrid working.
• At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.
• Through world-class development, you’ll gain invaluable technical and personal skills.