AI-First Delivery Practice Lead

MetLife; Cary (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

MetLife’s Global Technology and Operations team in Cary, NC seeks a Lead, AI-First Delivery Practice to translate AI standards into practical, scalable delivery. You will run pilots, build reusable enablement assets, and guide teams across the agentic SDLC toolchain to improve reliability and velocity.

This specialist individual-contributor role focuses on practice design and measurable adoption, working with CIO organizations, DevSecOps, and Platform Engineering to embody an AI-first operating

Qualifications

• Hands-on experience with agentic AI frameworks and coding agents, covering context and prompt engineering, tool integration, multi-agent orchestration, permissioning, output validation, and human-review patterns.
• Working experience with spec-driven development or comparable structured-context practices that make agent output predictable and traceable.
• 8+ years in software engineering or technical product roles with delivery experience in DevSecOps or platform enablement.
• Familiarity with enterprise delivery toolchains such as GitHub Enterprise, CI/CD pipelines, PR/branching strategies, and work-item traceability.
• Experience designing and running pilots with measurable criteria and ability to stop approaches that do not hold up.

Responsibilities

• Work AI-first in your own practice and demonstrate it; your enablement assets and prototypes serve as evidence.
• Run pilot and pathfinder delivery with CIO organizations and delivery teams moving to AI-first, defining entry/exit criteria and capturing friction.
• Build and maintain context libraries and Copilot/agentic patterns to improve output quality and governance.
• Establish spec-driven development practice with artifacts that guide agents and ensure traceability to intent.
• Author enablement assets (playbooks, role guides, worked examples) and enable teams across GitHub Enterprise, work management, and CI/CD.
• Collaborate with Enterprise DevSecOps, Platform Engineering, and Enterprise Architecture to advance platform capability and delivery practice.
• Instrument pilots with metrics (flow, engineering effectiveness, rework, review burden, verification overhead).
• Scale adoption by building champion networks and partnering with Learning & Development for role-based paths.

Skills

Agentic AI frameworks

Prompt engineering

Context libraries

Multi-agent orchestration

CI/CD tooling

Education

Bachelor's degree in CS or related field

Tools

GitHub Copilot

GitHub Enterprise

Copilot Coding Agent

Claude Code

Job description

MetLife’s Global Technology and Operations team in Cary, NC seeks a Lead, AI-First Delivery Practice to translate AI standards into practical, scalable delivery. You will run pilots, build reusable enablement assets, and guide teams across the agentic SDLC toolchain to improve reliability and velocity.

This specialist individual-contributor role focuses on practice design and measurable adoption, working with CIO organizations, DevSecOps, and Platform Engineering to embody an AI-first operating