GenAI Delivery Lead
About The Position
The GenAI Delivery Lead drives the planning, delivery, and operationalization of Generative AI solutions across Bechtel’s Energy Business Unit. The role translates business needs into production-ready capabilities that deliver measurable value, combining GenAI knowledge, digital delivery experience, and EPC expertise to deliver scalable, governed, and adoptable solutions from planning through deployment. This position is designated as part-time telework and requires at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules are determined by the individual and supervisor in consultation with functional or project leadership. The work location is Houston, Texas.
Requirements
- Typically requires a bachelor's degree or international equivalent and 10–13 years of relevant experience, or 14–17 years of relevant work experience.
- 5–7 years of technology or digital delivery experience within EPC, engineering, construction, or energy, with knowledge of project delivery and operations.
- 10–15 years of experience supporting AI, analytics, automation, or digital solutions.
- Working knowledge of GenAI, LLMs, copilots, RAG, and prompt engineering.
- Experience with Microsoft Azure, Anthropic, OpenAI, or comparable enterprise AI solutions.
- Knowledge of responsible AI, governance, security, and risk principles.
- Stakeholder engagement and executive communication skills.
- Ability to translate technical concepts into business outcomes.
- Program planning, facilitation, and organization skills.
Nice To Haves
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field.
- Master’s degree in Business, Data Science, AI, or a related field.
- Agile, Scrum, Product, or Project Management certification.
Responsibilities
- Lead end-to-end delivery of GenAI solutions across Energy functions.
- Define delivery plans, milestones, and success criteria.
- Coordinate business, technical, and implementation teams.
- Manage delivery risks, dependencies, and issues.
- Lead use case discovery and prioritization.
- Translate business needs into solution requirements and user stories.
- Define business outcomes and value targets with functional leaders.
- Align solutions with business processes, workflows, and user needs.
- Support enterprise GenAI platforms, copilots, assistants, and AI-enabled workflows.
- Guide prompt, retrieval, and user experience approaches aligned with enterprise standards.
- Partner with governance and architecture teams to ensure security, scalability, risk management, and operational readiness.
- Partner with Change Management to drive readiness, adoption, training, and sustainment.
- Track solution performance, delivery risks, adoption, and business value.
- Provide post-deployment insights and evidence to support improvement, governance, and production decisions.
Benefits
- Robust benefits to support employees’ well-being and growth; the job description does not specify individual benefit types.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
