Senior Director – AI Architecture

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GE Vernova

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Energy • Aerospace • Artificial Intelligence

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

10,000+ employees

⚡ Energy

🚀 Aerospace

🤖 Artificial Intelligence

📋 Description

• Lead a team of AI architects responsible for designing end-to-end AI solution architectures across business domains. • Define and evolve enterprise AI architecture frameworks, patterns, and standards that ensure scalability, interoperability, and performance. • Drive alignment across Data Science, MLOps , Cloud, and Software Engineering teams to ensure cohesive design and delivery. • Build reference architectures for reusable AI components (e.g., model pipelines, feature stores, inference APIs, monitoring frameworks). • Develop the enterprise AI architecture roadmap in partnership with senior IT, product, and business stakeholders. • Establish architectural governance for AI model lifecycle management — from experimentation to production and retraining. • Ensure AI systems adhere to standards for security, compliance, data privacy, and responsible AI. • Evaluate emerging technologies (LLMs, generative AI, edge AI, vector databases, knowledge graphs, etc.) for enterprise readiness. • Oversee the design of AI systems that integrate with enterprise data platforms, IoT systems, MES/ERP systems, and industrial automation solutions. • Ensure AI solutions are modular, configurable, and reusable across business units and geographies. • Support large-scale AI deployments leveraging cloud-native architectures, containerization, orchestration, and APIs. • Drive adoption of CI/CD for ML ( MLOps ), data versioning, and observability practices across teams. • Lead, mentor, and grow a high-performing team of AI architects and technical leads. • Partner closely with data scientists, software engineers, enterprise architects, and business leaders to translate needs into scalable solutions. • Communicate complex technical concepts to executive audiences, influencing investment and adoption strategies.

🎯 Requirements

• 12+ years of experience in software, data, or AI solution architecture; 5+ years in AI/ML systems leadership, or equivalent experience/knowledge. • Proven experience architecting and scaling AI platforms in an enterprise or industrial context. • Deep understanding of modern AI/ML technology stacks — including MLOps , data pipelines, distributed computing, and model serving. • Strong background in cloud platforms (Azure, AWS, or GCP) and containerized architectures (Kubernetes, Docker). • Familiarity with enterprise integration patterns (APIs, messaging, data fabrics) and security practices. • Ability to operate at both strategic and technical levels — defining vision and leading detailed design.

🏖️ Benefits

• Our compensation & benefits are designed to help you manage your personal and family needs, while rewarding high performers. • We offer a robust benefits package depending on your employment status and your national requirements. • GE invests to provide opportunities to grow your career by providing a path for continued on-the-job learning and development . • Inclusion & Diversity At GEV, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture , where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.