What you’ll do

AI Architecture Leadership

• 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).

Strategy and Governance

• 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.

Solution Design and Delivery

• 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.

Team and Stakeholder Leadership

• 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.

What you’ll bring (Basic Qualifications)

• 
  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.

What will make you stand out

• 
  Experience with industrial or manufacturing data systems (SCADA, historians, IoT platforms).

• Knowledge of GenAI technologies (LLMs, embeddings, RAG pipelines) and their operationalization.

• Prior experience establishing architectural governance or CoE structures for AI.

• Advanced degree in Computer Science, Engineering, or a related field.

Benefits Available to You

GEV employees rise to the challenge of building a world that works. In order to meet this mission, we provide varied, competitive benefits to help support our workforce.

• 
  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.

• A healthy, balanced lifestyle can mean different things to different people. We've created programs that support the way you live and work today.

• 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.