VP Engineering, AI

🕒 Abril 26

🥔 Idaho, Louisiana, +2 estados a mais – Remoto

🥔 Idaho – Remote ⚜️ Louisiana – Remote 🌾 Nebraska – Remote 🎸 Tennessee – Remote

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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Sedgwick

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏢 Corporativo

📋 Conformidade

Insurance • Enterprise • Compliance

A Sedgwick é uma fornecedora global de soluções de tecnologia para riscos, benefícios e negócios integrados. Eles ajudam pessoas e organizações a gerenciar e mitigar riscos com soluções em administração de sinistros de acidentes, saúde, invalidez, compensação por desemprego e responsabilidade, entre outros. A Sedgwick oferece serviços como administração de sinistros, consultoria de construção, contabilidade forense e engenharia forense. Suas especialidades incluem restauração de propriedades, proteção de marcas e prevenção de perdas em vários setores, incluindo agricultura, construção e setores ambientais. A empresa enfatiza diversidade, equidade e inclusão (DEI) e práticas ambientais, sociais e de governança (ESG).

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• flexible work arrangements • professional development opportunities