VP AI Engineering – Enterprise

Job not on LinkedIn

🔥 2 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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