Lead AI Engineer

Job description

Lead AI Developer **About The Role** As a Lead AI Developer, you will play a key role in shaping and delivering AI-enabled solutions that transform how engineering teams, business users, and cross-functional stakeholders work across Property & Casualty Reinsurance. You will be responsible for designing, building, and scaling AI-powered applications, agentic workflows, intelligent automation capabilities, and enterprise-ready GenAI solutions. The role requires a strong hands-on engineering mindset, deep technical understanding of modern AI platforms, and the ability to convert business and engineering challenges into practical, secure, scalable, and reusable AI solutions. This is not only a development role. You will act as a technical lead and AI engineering SME, helping teams adopt AI responsibly across the software delivery lifecycle, business processes, knowledge discovery, decision support, and productivity improvement use cases. You will work closely with product owners, architects, engineering teams, data specialists, business stakeholders, and platform teams to identify high-value opportunities and deliver solutions that are reliable, measurable, and aligned with Swiss Re’s engineering and governance standards. You will also help establish patterns, standards, guardrails, reusable components, and best practices that enable AI adoption across multiple P&C Re teams and domains. Key Responsibilities - Lead the design and development of scalable AI-powered applications, GenAI solutions, intelligent assistants, and agentic workflows for P&C Re. - Build enterprise-grade AI capabilities using modern technologies such as Python, Java, TypeScript, Azure AI Foundry, Azure OpenAI, GitHub Copilot, LangChain, Palantir, Semantic Kernel, or similar frameworks. - Design and implement AI solutions that support practical business and engineering use cases such as knowledge discovery, document intelligence, process automation, engineering productivity, code assistance, testing support, operational insights, and decision support. - Architect and implement robust Retrieval-Augmented Generation solutions, including data ingestion, chunking strategies, embeddings, vector search, prompt orchestration, grounding, source attribution, and response quality controls. - Develop and integrate AI agents and LLM-based workflows with enterprise systems such as Azure DevOps, Jira, Confluence, SharePoint, Palantir Foundry, Databricks, internal APIs, and business applications where applicable. - Collaborate with product owners, business SMEs, architects, data engineers, platform teams, and engineering squads to understand business needs and translate them into secure, scalable, and maintainable AI solutions. - Establish strong engineering practices for AI development, including prompt design, evaluation frameworks, automated testing, observability, monitoring, versioning, CI/CD, and production support. - Implement responsible AI practices, including human-in-the-loop controls, access management, data protection, explainability, validation checks, auditability, and alignment with Swiss Re governance standards. - Lead technical troubleshooting for complex AI solution issues, including model behavior, hallucination risk, grounding gaps, latency, integration failures, data quality issues, and production reliability concerns. - Evaluate and recommend new AI technologies, frameworks, engineering tools, and platform capabilities that can improve productivity, quality, scalability, and business value. - Mentor developers and engineers on AI development patterns, prompt engineering, agentic development, secure integration, testing approaches, and responsible AI practices. - Create and maintain technical specifications, architecture documents, reusable patterns, implementation guides, runbooks, and engineering best practices for AI solution delivery. - Act as an AI Engineering SME across multiple P&C Re teams, supporting adoption, enabling teams, reviewing solution designs, and helping establish common engineering standards. - Contribute to the broader AI adoption journey in P&C Re by identifying high-impact use cases, supporting pilots, sharing learnings, and helping scale successful solutions across teams. **About The Team** We are a team that believes in engineering excellence, practical innovation, and responsible use of technology. Our leaders are expected to stay close to engineering and lead by example through strong technical judgement, hands-on contribution, and high-quality delivery. In P&C Re, AI is becoming an important part of how we improve engineering productivity, business processes, decision support, and user experience. We are focused on applying AI where it creates real value, with clear guardrails, strong ownership, and close collaboration between business and technology teams. Quality, stability, security, and responsible delivery are first-class expectations in everything we do. We work closely with product owners, business stakeholders, architects, engineers, data specialists, and platform teams to build solutions that are thoughtfully designed, well-engineered, and sustainable over time. **About You** You are an experienced AI-focused engineer who enjoys solving complex problems and turning emerging technologies into practical, enterprise-ready solutions. You are hands-on, curious, collaborative, and comfortable working across engineering, architecture, product, and business teams. You understand that successful AI adoption is about integrating an LLM. It requires strong software engineering, reliable data flows, thoughtful user experience, responsible AI controls, measurable outcomes, and continuous learning from real usage. You are comfortable leading technical discussions, making architecture decisions, mentoring engineers, and helping teams adopt new ways of working. You are pragmatic, outcome-oriented, and able to balan