VP AI Engineering – Enterprise

🕒 Outubro 6

🐊 Florida – Remoto

🐊 Florida – Remote

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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Sedgwick

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏗️ Construção

💼 Consultoria

🏥 Saúde

Construction • Consulting • Healthcare

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 lead enterprise strategy for data and generative AI engineering • Establish standards, roadmaps, and operating models for analytics, machine learning, and AI at scale • Oversee design, delivery, and operation of enterprise ETL/ELT platforms integrating mainframe, SQL Server, and DB2 with cloud data and AI platforms • Govern feature stores, analytically optimized datasets, and AI-ready data products • Set enterprise direction for vectorization, embeddings, retrieval-augmented generation, and secure data consumption • Own Snowflake strategy, including architecture, performance, cost governance, and AWS/Azure AI integration • Collaborate with Technology, Security, Infrastructure, Legal, Risk, and Compliance leaders • Establish operating metrics and financial discipline for data and AI engineering investments • Lead engineering leaders and teams, set priorities, remove barriers, and ensure execution • Advise executive leadership on data, AI, and generative AI capabilities, risks, and opportunities • Shape talent strategy, capability development, and succession planning • Lead AI engineering for HR, Marketing, Finance, Legal, and other corporate functions • Identify and deliver LLM, agentic AI, workflow automation, and knowledge-assistant use cases • Build reusable AI capabilities, agents, APIs, connectors, and workflow integrations • Administer and operate ChatGPT Enterprise and Claude • Manage users, licenses, roles, permissions, workspaces, and enterprise configurations • Establish approved connectors and integrations with enterprise data and applications • Define access controls, data-use guardrails, and standards for GPTs, agents, projects, and connectors • Monitor adoption, utilization, licenses, token/API usage, platform effectiveness, cost, risk, and business value • Manage AI platform spend, forecasting, chargeback/showback, license optimization, and vendor commitments • Own relationships with OpenAI, Anthropic, and other enterprise AI providers • Evaluate, pilot, restrict, or broadly adopt new platform capabilities • Lead a small engineering/platform team responsible for AI solutions, integrations, administration, and support • Partner with business leaders to drive responsible adoption and measurable productivity improvement • Perform other duties as assigned • Provide supervisory leadership, hire colleagues, and conduct performance discussions

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Engineering, Artificial Intelligence or a related field from an accredited college or university required • Master’s degree preferred • 10+ years of engineering, platform, or enterprise technology experience • 5+ years in technical leadership • Ten (10) years of progressive experience in data engineering, analytics platforms, or AI-related technologies, including senior leadership responsibility for enterprise-scale data or AI initiatives, or an equivalent combination of education and experience required • Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, workflow automation, and enterprise integration • Experience building AI solutions for HR, Marketing, Finance, or Legal • Experience administering enterprise SaaS or AI platforms at significant organizational scale • Strong understanding of identity, SSO, RBAC, connectors, APIs, data permissions, and enterprise security • Strong AWS and/or Azure knowledge • Experience establishing AI governance, access controls, monitoring, and responsible-use standards • Strong financial management skills involving technology consumption, licenses, vendor spend, and forecasts • Experience with Snowflake and AWS/Azure ecosystems • Experience with machine learning, feature engineering, vector databases, and RAG-based architectures • Experience managing large, cross-functional initiatives with significant financial and organizational impact • Exceptional executive communication skills • Ability to lead through ambiguity, scale new capabilities, and drive enterprise change • Ability to meet or exceed Performance Competencies • Travel as required

🏖️ Benefícios

• Work-life balance • Reasonable accommodations when applicable and appropriate • Equal Opportunity Employer and Drug-Free Workplace