> Markdown version of [/jobs/ext/1440382-vp-ai-engineering](https://www.wearedevelopers.com/jobs/ext/1440382-vp-ai-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP AI Engineering - **Company:** Sedgwick - **Location:** Indianapolis, IN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Audit Trail, Cloud Engineering, Data Governance, Distributed Systems, Fraud Prevention and Detection, Software Engineering, Systems Integration, Datadog, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Reliability of Systems, Generative AI, AI Platforms, Kubernetes, Information Technology, Performance Monitor, Enterprise Integration, Virtual Agents, Legacy Systems, Microservices - **Published:** July 25, 2026 - **Apply:** https://www.juju.com/job/00000000gj8zt3 ## About the Role * 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. ## Description * 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. ## Related Videos - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)