RESPONSIBILITIES
Design and build deployment automation for AI workforce tooling — including Agentic Harness configurations, MCP server or similar service-level integrations, and related CI/CD pipelines
Define and enforce standards for AI tooling configuration, security posture, and observability across teams – often via direct enhancements to the coding harness hook and plugin layers
Ensure accurate observability of AI tooling adoption and usage patterns using Datadog, Dynatrace, or related tools
Own and evolve the internal prompt and skill marketplace — enabling teams to publish, discover, version, and reuse prompts, skills, and MCP tools across the enterprise
Develop workflow playbooks that codify AI-SDLC integration patterns for consistent, repeatable adoption across engineering teams
Work directly with delivery teams to embed AI tooling into their development workflows, translating friction and capability gaps into scalable platform improvements
Regularly document and present learnings from platform work and team engagements to the broader AI Enablement organization
Engage with technology, infrastructure, and product teams as necessary to integrate and extend AI workforce tooling
Participate routinely in team on-call rotation and customer support during business hours