Head of AI Platform Engineering

Job 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. You will drive the strategic vision for enterprise AI platform capabilities, ensuring scalable, secure, maintainable and innovative solutions that streamline operations and accelerate business outcomes. Responsibilities 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. 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 CEOs and staff. Build strategic partnerships with hyperscalers 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. 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. 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. Provide executive oversight of multiple teams globally, including large contractor groups across AI infrastructure, platform services, and 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). Lead investment in architecture and software to deliver enterprise‑wide AI transformation initiatives. 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. Architects 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. Collaborates with internal stakeholders across GE Vernova business units to implement process transformation. 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. Benefits & Compensation Salary range: $200,000 to $290,000 USD. Variable incentive compensation and equity may also be offered. The specific pay offered may be influenced by location, experience, education, skill set, and work location. Benefits include health, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse‑based resource, and the Employee Assistance Program. Retirement benefits include the GE Retirement Savings Plan, a tax‑advantaged 401(k) savings opportunity with company matching, 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, paid time‑off for vacation or illness, and 12 paid holidays. Relocation Relocation assistance is provided. EEO Statement 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. Eligibility For U.S. based candidates only. 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). Seniority Level Executive Employment Type Full‑time Job Function Engineering and Information Technology Industry Electric Power Generation #J-18808-Ljbffr