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SVP AI Engineering

Job Responsibilities

·       Define and execute the enterprise AI engineering strategy aligned to Sedgwick’s claims, risk, and client service transformation goals.

·       Lead the architecture, development, and deployment of applied AI and agentic AI solutions across global operations.

·       Build and scale a high-performing AI engineering organization, including Applied AI Engineers, Agentic AI Engineers, ML Engineers, and AI Platform teams.

·       Establish standards for LLM integration, retrieval-augmented generation (RAG), multi-agent orchestration, workflow automation, and model lifecycle management.

·       Oversee the design of autonomous and semi-autonomous AI systems that support claims intake, coverage analysis, fraud detection, compliance review, and operational optimization.

·       Drive 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.

·       Define and enforce engineering best practices for prompt engineering, tool use, memory design, guardrails, structured outputs, and deterministic validation.

·       Establish governance frameworks for Responsible AI, explainability, auditability, and regulatory compliance.

·       Partner with cybersecurity, legal, compliance, and data governance teams to mitigate AI-related operational and regulatory risks.

·       Develop robust evaluation and benchmarking methodologies 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.

·       Collaborate 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 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 that position Sedgwick as a technology leader in claims and risk management.

Qualifications

·       Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related field; advanced degree preferred.

·       10+ years of experience in software engineering, AI engineering, or platform architecture.

·       5+ years of leadership experience managing high-performing technical teams.

·       Demonstrated experience deploying LLM-powered systems and agentic AI solutions in enterprise environments.

·       Deep expertise in RAG architectures, vector databases, orchestration frameworks, and workflow automation systems.

·       Strong understanding of distributed systems, cloud-native architectures, and microservices design.

·       Experience building secure integrations with enterprise systems and legacy platforms.

·       Proven ability to design and implement AI governance, auditability, and Responsible AI frameworks.

·       Experience operating in regulated industries such as insurance, healthcare, or financial services preferred.

·       Strong financial and operational acumen with the ability to manage budgets and measure ROI.

·       Ability to communicate complex AI concepts to non-technical executives and business stakeholders.

·       Demonstrated track record of delivering large-scale, production AI systems with measurable business impact.

·       Strong leadership presence with the ability to drive alignment across cross-functional enterprise teams.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.