Head of Enterprise Gen AI Engineering (Remote)

Sedgwick; Florida; Remote; USD 250.000 - 350.000; Vollzeit

Zusammenfassung

Sedgwick seeks a VP AI Engineering to lead the enterprise Gen AI engineering strategy, governance, and execution. You will drive the architecture for AI-enabled analytics, data pipelines, and secure, scalable AI platforms across on‑premises and multi‑cloud environments.

As a senior leader, you will partner with Legal, Security, Finance, and HR to align AI investments with business value and regulatory expectations while building a high‑performing engineering organization.

Qualifikationen

• Ten (10) years of progressive experience in data engineering, analytics platforms, or AI‑related technologies with senior leadership responsibility.
• Experience establishing enterprise governance models for data, analytics, and AI systems.
• Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, and enterprise integration.

Aufgaben

• Define enterprise data and Gen AI engineering strategy, standards, and operating models at scale.
• Oversee design, delivery, and operation of ETL/ELT platforms integrating legacy on‑premise systems with cloud data and AI platforms.
• Lead governance for feature stores, AI‑ready data products, and regulatory/compliance alignment.
• Drive enterprise AI adoption, cost governance, and ROI measurement.
• Manage enterprise AI platform spend, licenses, and vendor relationships; partner with Security, Privacy, Legal, and Compliance.

Kenntnisse

LLMs

Agentic AI

RAG

APIs

Workflow automation

Enterprise integration

Executive leadership

Cloud data platforms

Data governance

Ausbildung

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Snowflake

AWS

Azure

Enterprise SaaS platforms

Jobbeschreibung

Sedgwick seeks a VP AI Engineering to lead the enterprise Gen AI engineering strategy, governance, and execution. You will drive the architecture for AI-enabled analytics, data pipelines, and secure, scalable AI platforms across on‑premises and multi‑cloud environments.

As a senior leader, you will partner with Legal, Security, Finance, and HR to align AI investments with business value and regulatory expectations while building a high‑performing engineering organization.