VP Engineering, AI

Job Description

Define and implement the enterprise AI engineering strategy in alignment with Sedgwick's transformation goals for claims, risk, and client services. Lead the design, creation, and implementation of AI and agentic AI solutions across global operations. Grow and manage a high-performing AI engineering team, including Applied AI Engineers, Agentic AI Engineers, ML Engineers, and AI Platform teams. Establish standards for LLM integration, RAG, multi-agent orchestration, workflow automation, and model lifecycle management. Direct the design of autonomous and semi-autonomous AI systems supporting claims intake, coverage analysis, fraud detection, compliance review, and operational optimization. Make enterprise architecture decisions for AI platforms, including model hosting, orchestration layers, vector databases, evaluation frameworks, and observability tooling. Ensure scalable, secure integration of AI systems with claims platforms, policy systems, document repositories, and enterprise data environments. Establish engineering best practices for prompt engineering, tool use, memory design, guardrails, structured outputs, and deterministic validation. Build governance frameworks for Responsible AI, explainability, auditability, and regulatory compliance. Collaborate with cybersecurity, legal, compliance, and data governance teams to reduce AI-related operational and regulatory risks. Develop robust evaluation and benchmarking methods to measure reasoning quality, workflow completion rates, hallucination risk, and system reliability. Oversee AI production operations including performance monitoring, drift detection, cost management, and service reliability. Translate executive-level business priorities into scalable AI platform capabilities and delivery roadmaps. Work with Claims Operations, IT, Digital, and Product teams to identify high-impact AI use cases and drive measurable ROI. Lead build-versus-buy decisions for AI tooling, foundation models, orchestration frameworks, and enterprise integrations. Manage vendor relationships related to AI platforms, cloud providers, and model providers. Drive the adoption of AI solutions across adjusters, supervisors, and client-facing teams through strong partnership and change management alignment. Mentor engineering leaders and establish a strong culture of technical excellence, innovation, and operational discipline. Present AI strategy, progress, risks, and outcomes to executive leadership and board-level stakeholders. Develop long-term AI capability roadmaps to position Sedgwick as a technology leader in claims and risk management.

Qualifications

1. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field; advanced degree preferred. 2. 10+ years of experience in software engineering, AI engineering, or platform architecture. 3. 5+ years of leadership experience managing high-performing technical teams. 4. Experience deploying LLM-powered systems and agentic AI solutions in enterprise environments. 5. Expertise in RAG architectures, vector databases, orchestration frameworks, and workflow automation systems. 6. Understanding of distributed systems, cloud-native architectures, and microservices design. 7. Experience building secure integrations with enterprise systems and legacy platforms. 8. Proven ability to design and implement AI governance, auditability, and Responsible AI frameworks. 9. Experience operating in regulated industries such as insurance, healthcare, or financial services preferred. 10. Financial and operational acumen with the ability to manage budgets and measure ROI. 11. Ability to communicate complex AI concepts to non-technical executives and business stakeholders. 12. Track record of delivering large-scale, production AI systems with business impact. 13. Leadership presence with the ability to drive alignment across cross-functional enterprise teams.

Benefits

- Flexible work arrangements - Professional development opportunities