Technical Execution Leader, AI

GE Vernova

. Own how AI and Automation solutions are technically built and advanced across GE Vernova Power Business Operations .

Posted 11/12/2026full-timeRemote • United StatesSenior💰 $112,400 - $187,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and Automation solutions, with a strong focus on cloud architecture, Python programming, and technical leadership. Proven ability to manage complex projects, mentor teams, and translate technical requirements into business terms.

Highest-signal resume keywords

Python ProgrammingCloud ArchitectureTechnical LeadershipAI Solutions DevelopmentProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsCloud AI APIsVector DatabasesContainerizationScalable Deployment PatternsPrototypingValidationProduction LaunchGitEHS Technology Application

Soft Skills

Strong Communication SkillsProblem Analysis and ResolutionCollaboration Across RegionsMentorshipDocumentation and Planning

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineering or Related Discipline

Industry Keywords

Digital Technology SolutionsAI and AutomationProject OwnershipRisk IdentificationDefect Prevention

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Own how AI and Automation solutions are technically built and advanced across GE Vernova Power Business Operations
Co-manage the integrated global portfolio across APAC, the Americas and EMEA
Take technical ownership of assigned initiatives across regions
Lead the shared pool of DT architect contractors and direct prototype development
Turn qualified portfolio needs into scoped work packages with architecture, solution choices, technical requirements, deliverables, acceptance criteria and milestones
Plan contractor capacity, allocate resources, resolve conflicts and maintain project ownership and handoffs
Set engineering expectations for code quality, version control, documentation and handoff
Review contractor deliverables against acceptance criteria
Develop architecture and solution options using Python, modern frameworks, vector databases and cloud AI APIs
Define cloud architecture and deployment patterns, including containerization and scalable deployment
Translate technical constraints and AI limitations into clear business terms
Guide use cases from experimentation through prototyping, validation and production launch
Recommend whether initiatives should advance, change direction, reuse capabilities, pause or stop
Provide technical mentorship to contractors, solution builders and business teams
Coordinate prototype demonstrations, testing and iteration
Assess technical readiness for scale, including data access, dependencies, security, performance and operational support
Provide feasibility, effort and risk input to portfolio prioritization
Feed technical lessons, reusable components and documentation back to the AI Ambassador community
Collaborate with Analytics, Digital, IT and enterprise teams on approved capabilities and technical standards

Requirements

What you’ll need

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
Experience with 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
Experience building AI or GenAI solutions that scaled beyond a prototype and are used in production
Experience directing contractor or vendor teams to deliver against changing priorities without losing technical quality
Experience applying technology to EHS, Quality or Lean challenges, including risk identification, defect prevention or standard work
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
Ability to collaborate across regions and time zones
Must be legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Discretionary annual bonus
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova, including a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Professional development
Relocation assistance not provided