Remote VP of Enterprise Gen AI Engineering

Sedgwick; Miami (FL); Remote; USD 230.000 - 340.000; Vollzeit

Zusammenfassung

Sedgwick, based in the United States and operating remotely, seeks a Vice President of AI Engineering for Enterprise to lead the data and AI engineering ecosystem. You will own the vision, governance, and execution model for enterprise data supply chains powering ML platforms and production-grade generative AI capabilities.

As a senior leader, you will scale engineering strategies across on-premise and multi-cloud environments, aligning investments with regulatory requirements and business

Qualifikationen

• Bachelor’s degree in Computer Science, Data Engineering, AI or related field; Master’s degree preferred.
• 10+ years of engineering or enterprise technology experience with 5+ years in technical leadership.
• Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, and enterprise integration.
• Experience managing enterprise AI platforms at scale.

Aufgaben

• Defines and leads the enterprise strategy for data and generative AI engineering, establishing standards, roadmaps, and operating models.
• Provides executive oversight for design, delivery, and operation of ETL/ELT platforms integrating legacy systems with cloud data platforms.
• Establishes governance for feature stores and AI-ready data products to ensure reproducibility and compliance.
• Drives enterprise AI enablement including vectorization, embeddings, and secure data consumption.

Kenntnisse

Executive leadership

AI governance

Cloud architectures

Stakeholder management

Data engineering

Ausbildung

Bachelor's degree

Masters preferred

Tools

Snowflake

AWS

Azure

Jobbeschreibung

Sedgwick, based in the United States and operating remotely, seeks a Vice President of AI Engineering for Enterprise to lead the data and AI engineering ecosystem. You will own the vision, governance, and execution model for enterprise data supply chains powering ML platforms and production-grade generative AI capabilities.

As a senior leader, you will scale engineering strategies across on-premise and multi-cloud environments, aligning investments with regulatory requirements and business