Establishing AI governance and guardrails in collaboration with Security, Risk, Legal and Data teams (privacy, IP, data handling, model risk).
Coordinating with product, engineering and data science teams to pilot, validate, and scale AI solutions; manage delivery plans, timelines and dependencies.
Developing and maintain an AI tools catalogue, intake process, and reusable assets (templates, evaluation checklists, model cards) where applicable.
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Execute the design, analysis, or evaluation of assigned projects using sound engineering principles while adhering to business standards, practices, procedures, and product/program requirements.
Monitor and communicate project status, business issues, and significant developments.
Maintain an in-depth knowledge of joining processes, including a variety of techniques such as welding and brazing, to effectively address diverse engineering challenges and select the most appropriate method for specific applications.
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