AI Enablement Lead

Requisition ID: 295501

• Relocation Authorized: National - Family
• Telework Type: Full-Time Office/Project
• Work Location: Various Work Locations USA

Extraordinary Teams Building Inspiring Projects Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world’s infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers’ objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.

Project Overview Bechtel Manufacturing and Technology (M&T) is an exciting and growing business that serves the increasing demand of EPC services for customers in the semiconductor (manufacturing facilities and supply chain); data center, electric vehicle (batteries, charging infrastructure, and production); and life sciences markets.

M&T strives to exceed our customer objectives through utilizing our agility, innovative technologies, and world class talent. M&T will solve the industries toughest challenges, building both our company and the world for the future.

Headquartered in the U.S. with employees in various states, M&T also has colleagues in the United Kingdom, India, and other locations while we actively pursue exciting opportunities in other parts of the world. We are looking for talented people to join our team that are passionate about making a difference and contributing to historical projects that will have a lasting impact on society.

Job Summary The AI Enablement Lead is responsible for driving the adoption and scaled delivery of Artificial Intelligence (AI) capabilities across the Manufacturing & Technology (M&T) global business unit. This role sits within Digital Solutions and serves as the central coordinator of AI enablement, ensuring initiatives are aligned, governed, and delivering measurable value across projects and functions. The AI Enablement Lead owns the AI portfolio intake and prioritization process, leads the controlled development AI solutions (including agents, low-code/no-code applications, and lightweight models), and works cross-functionally to identify high-value use cases and eliminate duplication. The role maintains visibility of AI activity across the GBU, and partners with internal teams and external vendors to accelerate adoption. This position works alongside Digital Solutions Data Architecture and AI team to maintain and deploy a robust AI portfolio. This position plays a key role in scaling AI from isolated pilots to repeatable, enterprise-ready solutions, enabling consistent delivery, value tracking, and alignment with business priorities.

Major Responsibilities

• Lead intake, evaluation, and prioritization of AI initiatives across the GBU, aligned to business and project priorities.
• Work with Data Architecture and AI team to assess use-cases, determine build requirements, apply prioritization, and assign resources.
• Maintain a centralized view of AI initiatives, ensuring visibility, coordination, and governance.
• Define and track value realization metrics (e.g., efficiency, cost savings, cycle time improvements).
• Partner closely with project teams and functional stakeholders to understand business challenges and identify AI-enabled solutions. Translate business needs into implementable use cases, ensuring solutions are practical and value-driven.
• Deliver AI solutions in a controlled and scalable manner, including AI agents and co-pilot, low-code and no-code applications, automation and lightweight models.
• Identify and promote reuse of solutions across projects and functions, reducing duplication and maximizing value by working across GBUs, projects, and functions to identify overlapping needs and shared opportunities.
• Develop and deliver guidance, best practice…