SVP AI Engineering

Join Sedgwick, a company that helps people around the world who are facing the unexpected. As SVP AI Engineering, you'll define and execute the enterprise AI engineering strategy, lead the architecture, development, and deployment of applied AI and agentic AI solutions, and build a high-performing AI engineering organization.

Requirements

• Define and execute the enterprise AI engineering strategy
• Lead the architecture, development, and deployment of applied AI and agentic AI solutions
• Build and scale a high-performing AI engineering organization
• Establish standards for LLM integration, retrieval-augmented generation, multi-agent orchestration, workflow automation, and model lifecycle management
• Oversee the design of autonomous and semi-autonomous AI systems
• Drive enterprise architecture decisions for AI platforms
• Ensure scalable, secure integration of AI systems with claims platforms, policy systems, document repositories, and enterprise data environments
• Define and enforce engineering best practices
• Establish governance frameworks for Responsible AI, explainability, auditability, and regulatory compliance
• Partner with cybersecurity, legal, compliance, and data governance teams
• Develop robust evaluation and benchmarking methodologies
• Oversee AI production operations
• Translate executive-level business priorities into scalable AI platform capabilities
• Collaborate with Claims Operations, IT, Digital, and Product teams
• Lead build-versus-buy decisions for AI tooling
• Manage vendor relationships
• Drive adoption of AI solutions across adjusters, supervisors, and client-facing teams
• Mentor engineering leaders and establish a strong culture of technical excellence
• Present AI strategy, progress, risks, and outcomes to executive leadership and board-level stakeholders
• Develop long-term AI capability roadmaps

Benefits

• Equal Opportunity Employer
• Drug-Free Workplace