Coordinate the intake of new or materially changed AI systems and confirm that each has a clear business owner, technical contact and accountable risk owner.
Define the vision, objectives, and measurable outcomes for the internal corporate GenAI platform, taking ownership of its development as an agency-wide product.
Solution Delivery: Work with internal customers to understand business problems, shape feasible AI solution options, validate value through prototypes, and deliver solutions into productive use.
6-10 years in solution / enterprise / data / cloud / AI architecture or consulting, with real experience shipping production AI / data / platform systems.
Solution Delivery: Work with internal customers to understand business problems, shape feasible AI solution options, validate value through prototypes, and deliver solutions into productive use.
Own the full lifecycle of AI-native product features — from understanding the problem and designing the experience to implementation, testing, deployment, and maintenance.
Developing and experimenting with computer vision, vision-language models (VLMs), world models and other AI approaches for perception and autonomous robotic systems.
Leverage company-approved AI-assisted tools to maximize productivity and quality (e.g., accelerate requirements analysis, solution design, development, test creation, documentation, and troubleshooting), while applying engineering judgment to validate outputs and following company security, data-handling, and coding standards
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Create the AI Strategy - Figure out where AI can help the most. Translate company AI roadmap into actionable initiatives across short, medium, and long-term horizons.