Discover and scope AI opportunities with internal teams to identify AI/automation wins.
Design end-to-end AI solutions integrated with existing data and systems.
Build and ship production-quality software with CI/CD, logging, and guardrails.
Pilot, rollout, and drive adoption with end users and iterate based on feedback.
Champion responsible AI with privacy, security, and compliance in mind.
Build for reuse by creating patterns, components, and docs for future AI work.

🎯 Requirements

Software eng foundation: CS/Engineering degree or equivalent.
Hands-on AI and automation delivery in real environments.
Agentic AI literacy: MCP, Hooks, and agent patterns.
System design and architecture thinking for scalable solutions.
Data and security judgment for enterprise data handling.
Business function acumen to scope solutions with stakeholders.
Clear, collaborative communication with stakeholders.

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