Head of AI Platform Engineering at GE Vernova

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

290000.0

Posted On

16 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Platform Engineering, Cloud Technologies, Software Development, Data Strategy, AI Applications, Security Compliance, MLOps, Kubernetes, Docker, Big Data Technologies, Microservices, API Design, Organizational Change Management, Agile Methodologies, Stakeholder Management, Diversity and Inclusion

Industry

Electric Power Generation

Description

Job Description Summary As the Head of AI Platform Engineering, you will provide executive leadership to build and scale world-class AI solutions and infrastructure across GE Vernova's global operations. Strategic Leadership & Vision: You will drive the strategic vision for enterprise AI platform capabilities, ensuring scalable, secure, maintainable and innovative solutions that streamline operations, eliminate complexity, and accelerate business outcomes. This role requires deep expertise in AI/ML technologies, cloud platform engineering, and enterprise-scale software development to lead teams delivering cutting-edge solutions. Platform Scale & Impact: You will spearhead the buildout of GE Vernova's AI platform as well as the applications supporting 100K+ daily users. As AI transforms how our employees work and our products provide value to customers, you will be the catalyst driving platform adoption and software excellence across Vernova's business units. Security & Compliance Excellence: All delivery must align with our responsible AI principles, robust project governance, and CISO/CTO requirements. Candidates must demonstrate proven experience with secure handling of sensitive data, including export control compliance, CMMC standards, and CUI protocols. Our unwavering commitment to Quality and Safety means every solution must meet the highest security and operational standards. Job Description In this role, you will: Leadership & Strategy Establish and direct a world-class AI platform engineering organization capable of delivering enterprise-scale AI infrastructure, tools, and services Define and execute a comprehensive AI platform strategy aligned with company-wide digital transformation and AI initiatives Establish the vision for next-generation AI Services, including Cloud infrastructure, data pipelines, and model integration leveraging proven experience in Cloud platform strategy development Champion responsible AI principles and establish governance frameworks ensuring ethical, transparent, and compliant AI solutions across the enterprise Define comprehensive data strategy for AI initiatives, including secure handling of sensitive data, export control compliance, CMMC requirements, and CUI data governance Partner with AI leaders across the company to build out GE Vernova's AI strategy, focusing on platform and software capabilities to accelerate deployment. Present strategy and updates to CEO's and staff. Build strategic partnerships with hyperscaler's to ensure our platform has secure access to the latest AI services, compute and LLMs Lead strategic partnerships with consulting organizations to augment our staff to deliver AI applications for GE Vernova Technical Excellence Oversee the design and implementation of scalable AI platform supporting diverse use cases from proof of concept to production serving tens of thousands of users across cloud and on-premises environments Lead teams of internal hires and contractors responsible for building end-to-end pipelines and apps for delivery Architect and deliver reusable responsible AI services and components including bias detection, explainability tools, model monitoring, and governance frameworks that business units can leverage for compliant AI deployment Establish technical standards for AI infrastructure including compute orchestration (GitOps), modern cloud-native practices, and secure on-premises AI capabilities Orchestrate enterprise adoption of AI-assisted development practices and emerging AI technologies including LLMs and emerging AI paradigms Ensure platform reliability, security, and compliance with industry standards and regulations including export control, CMMC, and CUI data handling requirements Operational Excellence Provide executive oversight of multiple teams globally including large contractor groups across AI infrastructure, platform services, apps Implement and scale agile methodologies Establish KPIs and metrics to measure platform adoption and drive governance Build partnerships with cloud providers, technology vendors, and open-source communities Drive cost optimization strategies for AI compute resources and infrastructure (FinOps) Innovation & Transformation Lead investment in architecture and software to deliver enterprise-wide AI transformation initiatives to accelerate AI adoption across business units Identify and incubate emerging technologies that could transform the AI platform landscape Job Characteristics Demonstrates executive presence and ability to influence at all organizational levels Serves as subject matter expert to executive leadership on AI platform strategy Architecting platforms that scale from proof-of-concept to production serving tens of thousands of users Balances technical depth with business acumen to drive ROI on AI investments Builds inclusive teams that reflect diverse perspectives and backgrounds Establishes a culture of operational excellence with focus on reliability, observability, and automation Leads organizational change management at scale for AI platform adoption Drives enterprise risk management for AI platform operations Maintains pulse on industry trends, competitive landscape, and emerging technologies Collaborate with internal stakeholders across GE Vernova business units to implement process transformation Job Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, Mathematics, or related STEM field required; Master's or PhD preferred 15+ years of senior leadership experience in software engineering, platform engineering, or infrastructure Executive-level strategic planning and execution experience 5+ years of hands-on experience with Cloud technologies and platforms 5+ years of experience leading teams of 50+ engineers across multiple disciplines Proven track record of building and scaling apps in enterprise environments Proven success in enterprise digital transformation initiatives Experience developing and deploying AI applications Technical Expertise Expertise in cloud-native architectures and container orchestration (Kubernetes, Docker) Knowledge of MLOps practices and tools Experience with distributed computing frameworks and big data technologies Strong foundation in software engineering principles, microservices, and API design Experience with hybrid cloud and on-premises AI infrastructure management Knowledge of responsible AI frameworks, model governance, bias mitigation, and explainability solutions Experience with sensitive data handling including export control, CMMC compliance, and CUI data governance in AI environments Leadership Competencies Exceptional communication skills with ability to articulate complex technical strategies to executive audiences Proven ability to attract, develop, and retain top engineering talent Track record of driving large-scale organizational transformations Experience managing multi-million dollar budgets and delivering ROI Strong business acumen with ability to align technology investments with business outcomes Excellence in stakeholder management across technical and non-technical audiences Demonstrated success in building collaborative relationships across organizational boundaries Experience navigating ambiguity and driving clarity in complex environments Commitment to diversity, equity, and inclusion in team building and platform design For U.S. based candidates only, for purposes of complying with U.S. pay transparency requirements: The salary range for this position is $200,000 to $290,000 USD. The specific pay offered may be influenced by a variety of factors including the candidate’s geographic location, experience, education, skill set, and work location. This position is also eligible for variable incentive compensation and equity. Benefits include health and additional benefits. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, 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 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 planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor 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 Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. 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: Yes For candidates applying to a U.S. based position only: Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on November 14, 2025. 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 Executive Services. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off, and the Restoration Plan, a nonqualified plan with company credits on eligible pay above IRS limits. 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.

Responsibilities

Lead the development and scaling of AI solutions and infrastructure for GE Vernova. Drive the strategic vision for enterprise AI platform capabilities and ensure compliance with security and governance standards.