Head of AI Platform Engineering

Overview

Lead and scale enterprise AI platform engineering for GE Vernova globally.

Key Responsibilities

• ai platform
• model monitoring
• governance
• finops
• responsible ai
• cloud infrastructure

Tasks

-Implement and scale agile methodologies -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 -Establishes a culture of operational excellence with focus on reliability, observability, and automation -Leads organizational change management at scale for AI platform adoption -Lead investment in architecture and software to deliver enterprise-wide AI transformation initiatives to accelerate AI adoption across business units -Collaborate with internal stakeholders across GE Vernova business units to implement process transformation -Orchestrate enterprise adoption of AI-assisted development practices and emerging AI technologies including LLMs and emerging AI paradigms -Drives enterprise risk management for AI platform operations -Build partnerships with cloud providers, technology vendors, and open-source communities -Serves as subject matter expert to executive leadership on AI platform strategy -Identify and incubate emerging technologies that could transform the AI platform landscape -Establish the vision for next-generation AI Services, including Cloud infrastructure, data pipelines, and model integration leveraging proven experience in Cloud platform strategy development -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 -Builds inclusive teams that reflect diverse perspectives and backgrounds -Define comprehensive data strategy for AI initiatives, including secure handling of sensitive data, export control compliance, CMMC requirements, and CUI data governance -Establish KPIs and metrics to measure platform adoption and drive governance -Drive cost optimization strategies for AI compute resources and infrastructure (FinOps) -Maintains pulse on industry trends, competitive landscape, and emerging technologies -Define and execute a comprehensive AI platform strategy aligned with company-wide digital transformation and AI initiatives -Establish technical standards for AI infrastructure including compute orchestration (GitOps), modern cloud-native practices, and secure on-premises AI capabilities -Establish and direct a world-class AI platform engineering organization capable of delivering enterprise-scale AI infrastructure, tools, and services -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 -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, apps -Lead strategic partnerships with consulting organizations to augment our staff to deliver AI applications for GE Vernova -Champion responsible AI principles and establish governance frameworks ensuring ethical, transparent, and compliant AI solutions across the enterprise

Requirements

• kubernetes
• mlops
• hybrid cloud
• phd
• executive presence
• stakeholder management

What You Bring

-Experience managing multi-million dollar budgets and delivering ROI -Executive-level strategic planning and execution experience -Expertise in cloud-native architectures and container orchestration (Kubernetes, Docker) -Exceptional communication skills with ability to articulate complex technical strategies to executive audiences -5+ years of hands-on experience with Cloud technologies and platforms -Proven track record of building and scaling apps in enterprise environments -Demonstrated success in building collaborative relationships across organizational boundaries -Proven success in enterprise digital transformation initiatives -Knowledge of MLOps practices and tools -15+ years of senior leadership experience in software engineering, platform engineering, or infrastructure -Proven ability to attract, develop, and retain top engineering talent -Experience with distributed computing frameworks and big data technologies -Bachelor's degree in Computer Science, Engineering, Mathematics, or related STEM field required; Master's or PhD preferred -5+ years of experience leading teams of 50+ engineers across multiple disciplines -Architecting platforms that scale from proof-of-concept to production serving tens of thousands of users -Experience with sensitive data handling including export control, CMMC compliance, and CUI data governance in AI environments -Experience with hybrid cloud and on-premises AI infrastructure management -Excellence in stakeholder management across technical and non-technical audiences -Knowledge of responsible AI frameworks, model governance, bias mitigation, and explainability solutions -Strong business acumen with ability to align technology investments with business outcomes -Experience developing and deploying AI applications -Strong foundation in software engineering principles, microservices, and API design -Balances technical depth with business acumen to drive ROI on AI investments -Track record of driving large-scale organizational transformations -Experience navigating ambiguity and driving clarity in complex environments -Demonstrates executive presence and ability to influence at all organizational levels

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About Ge Vernova

-Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings. -Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies. -On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects. -Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain. -Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure. -Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Sector Specialisms

Security Clearance

-employment offer contingent on successful completion of a drug screen (as applicable).