- Design, build, and run agentic workflows across the delivery process such as requirements review, automated checks, and early risk detection.
- Build reusable components, skills, and patterns for tool integrations, feedback loops, and identity/auth management.
- Manage quality end-to-end by designing evals, monitoring agents in production, and overseeing observability, cost, and security.
- Develop human-in-the-loop workflows where human corrections improve prompts, evals, and system components.
- Embed with delivery teams to identify high-leverage opportunities for automation.
- Drive internal adoption of AI agents by building paved paths and establishing best practices for teams.
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