Job Description Summary As the AI Technical Execution Leader, you will own how AI & Automation solutions are technically built and advanced across GE Vernova Power Business Operations. Reporting to the Business Operations AI & Automation Leader, you will turn portfolio needs into architecture and solution choices, lead the shared DT architects (contractors), and guide complex solutions from prototype toward scale, working hand in hand with the AI Portfolio & Solutions Lead, who owns community enablement, adoption and initial portfolio entry.
Combine deep software-engineering and cloud architecture skills with experience taking 0-to-1 products from prototype to production, and the ability to lead external developers and explain technical constraints in clear business terms. Bring sound judgment, curiosity and a commitment to mentoring others as solutions move from local experimentation toward broader reuse or scale.
Job Description
Working hand in hand with the AI Portfolio & Solutions Lead, who owns community enablement, adoption and initial portfolio entry, the AI Technical Execution Leader owns how solutions are technically built and advanced. You will co-manage this integrated global portfolio across APAC, the Americas and EMEA, take technical ownership of assigned initiatives across regions, direct the shared technical resources, align priorities, strengthen delivery discipline and promote cross-regional reuse, with clear accountability for each initiative.
Roles and Responsibilities
Technical Execution and Contractor Leadership
- Lead the shared pool of DT architects (contractors), directing prototype development across the global portfolio and keeping execution aligned to the priorities set with the AI & Automation Leader and the AI Portfolio & Solutions Lead.
- Turn qualified portfolio needs into scoped work packages with clear architecture and solution choices, technical requirements, deliverables, acceptance criteria and milestones.
- Plan contractor capacity and allocate resources across the global portfolio, resolve resource conflicts and maintain clear project ownership and effective handoffs.
- Set and uphold engineering expectations for code quality, version control, documentation and handoff, and review contractor deliverables against acceptance criteria.
Architecture and Solution Options
- Develop architecture and solution options for portfolio opportunities, using Python, modern frameworks, vector databases and cloud AI APIs, and recommend the approach that best fits the problem, including reuse of existing capabilities.
- Define cloud architecture and deployment patterns, including containerization and scalable deployment, so prototypes can be productionized without rework.
- Translate complex technical constraints and AI limitations into clear business terms, so stakeholders understand trade-offs, risks and realistic outcomes.
- Serve as the best-practice resource for technical approach across Power, shaping priorities where technical feasibility or sequencing affects the portfolio.
Prototyping to Scale
- Guide use cases from local experimentation through prototyping, validation and production launch, using evidence to recommend whether initiatives should advance, change direction, reuse existing capabilities, pause or stop.
- Provide technical mentorship to contractors, solution builders and business teams as solutions move toward broader reuse or scale.
- Coordinate prototype demonstrations, testing and iteration with business owners and specialist teams to inform decisions on further development and implementation.
- Assess technical readiness for scale, including data access, system dependencies, security, performance and operational support.
Portfolio Partnership
- Co-manage the global portfolio with the AI Portfolio & Solutions Lead, splitting ownership of initiatives by complexity and taking technical ownership of the more complex initiatives.
- Receive qualified, ready opportunities from intake with clear business context, and provide feasibility, effort and risk input to support prioritization.
- Feed technical lessons, reusable components and solution documentation back to the AI Ambassador community and the portfolio so reuse is visible and practical.
- Work with Analytics, Digital, IT and enterprise teams to use approved capabilities, avoid duplicating existing solutions and align on technical standards.
Required Qualifications
- Bachelor's degree in computer science, engineering or related discipline, or equivalent relevant professional experience.
- 10+ years of deep software-engineering fundamentals for Digital Technology (DT) solutions, including Python, modern frameworks, vector databases, cloud AI APIs and Git.
- Cloud architecture and deployment experience, including containerization and scalable deployment patterns.
- Experience taking 0-to-1 products or MVPs through prototyping, validation and production launch.
- Technical leadership of external developers and contractors, including turning portfolio needs into architecture and solution choices and keeping execution aligned to priorities.
Desired Characteristics
- Experience building AI or GenAI solutions that scaled beyond a prototype and are used in production.
- The judgment to make sound architecture decisions with incomplete information and to explain the trade-offs clearly.
- Experience directing contractor or vendor teams to deliver against changing priorities without losing technical quality.
- The ability to bridge technology and operations, preserving customer intent while making technical constraints understandable to non-technical audiences.
- Experience applying technology to EHS, Quality or Lean challenges, including risk identification, defect prevention or standard work.
- A genuine commitment to mentoring others and raising the technical standard of the teams around you.
- Strong oral and written communication skills. Demonstrated ability to analyze and resolve problems. Ability to document, plan, market, and execute programs. Established project management skills.
What Success Looks Like
- Shared DT architect (contractor) capacity is focused on the highest-priority opportunities, with execution aligned to portfolio priorities and conflicts resolved promptly.
- Use cases move from prototype to validated MVP and production launch at a predictable pace, with architecture and solution decisions documented and explained.
- Solutions are built on scalable, reusable patterns, so successful local experiments can be adopted more broadly without being rebuilt.
- Business stakeholders understand technical constraints and AI limitations in clear business terms and make informed prioritization decisions.
- Handoffs with the AI Portfolio & Solutions Lead are clean, and user feedback from the Ambassador community is reflected in technical priorities.
- Contractors and solution builders receive the technical mentorship and standards they need to deliver consistent quality.
- Ability to translate complex technical constraints and AI limitations into clear business terms for non-technical stakeholders.
- Experience providing technical mentorship as solutions move from local experimentation toward broader reuse or scale.
- Demonstrated judgment in offering new solutions beyond set parameters, shaping priorities and serving as a best-practice resource.
- Experience collaborating across regions and time zones and sharing accountability for global portfolio outcomes with a counterpart role.
Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
- This is a remote position
For candidates applying to a U.S. based position, the pay range for this position is between $112,400.00 and $187,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on November 12, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.