Vice President, AI Engineering, Enterprise

Vice President, AI Engineering, Enterprise

About the Company

Technology-driven organization providing risk & integrated business solutions

Industry
Insurance

Type
Privately Held, Private Equity-backed

Founded
1969

Employees
10,001+

Categories

• Consulting & Professional Services
• Insurance
• Other Biz Services
• Services
• Banking
• Risk Management

Specialties

• claims management
• risk management
• workers'​ compensation
• disability
• absence solutions
• affinity
• first and third party fleet programs
• healthcare risk management
• retail and consumer care services
• integrated services
• managed care
• property
• casualty
• benefits
• marine
• integrated
• technology
• liability
• loss adjusting
• compliance
• loss prevention
• and cat response

Business Classifications

• B2B
• SAAS
• Enterprise

About the Role

The Company is seeking a Vice President for AI Engineering at the enterprise level. The successful candidate will be responsible for providing executive leadership and strategic direction in the development and implementation of the enterprise data and AI engineering ecosystem. This includes owning the vision, governance, and execution model for the enterprise data supply chain that supports advanced analytics, data science, and generative AI initiatives. The role involves defining and leading the enterprise strategy for data and generative AI engineering, establishing standards and operating models, and ensuring that investments are aligned with business outcomes and regulatory expectations. The VP will also be tasked with leading cross-functional collaboration to meet security, privacy, and regulatory requirements, as well as driving organizational readiness through talent strategy and capability development. Applicants must have a Bachelor's degree in a relevant field, with a Master's degree preferred, and at least 10 years of experience in engineering, platform, or enterprise technology, including 5 years in technical leadership. The role requires a strong understanding of LLMs, agentic AI, RAG, APIs, workflow automation, and enterprise integration, as well as experience in building AI solutions for corporate functions. The ideal candidate will have a background in enterprise SaaS or AI platform administration, knowledge of modern data architectures, and experience with AI governance and access controls. Strong financial management skills and the ability to work effectively across various business and technology domains are essential. The VP will also be expected to have exceptional executive communication skills and the ability to influence and align stakeholders.

Functions

• Engineering
• Data Management/Analytics