What youll 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 youll 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. Weve 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.