Lead I - ML Engineering

Role description

AI Transformation & Developer Enablement Lead

We are seeking a Senior DevOps Leader with a strong software development background and hands-on experience with GitHub and its Agentic AI ecosystem. This individual will drive enterprise-wide adoption of AI-powered engineering practices, modernize software delivery, and enable development teams to maximize the value of GitHub Copilot, Coding Agents, and AI-native workflows.

Key Responsibilities

Lead enterprise adoption of GitHub Copilot, Coding Agents, and AI-native engineering practices, driving measurable improvements in development productivity and software delivery outcomes.

Assess AI readiness and engineering maturity across development, QA, DevOps, and platform teams, identifying capability gaps and defining transformation roadmaps.

Implement AI-Driven Software Development Lifecycle (AI-DLC) operating models leveraging GitHub Enterprise, GitHub Actions, Copilot, and modern developer platforms.

Drive adoption of agentic and spec-driven engineering workflows across the end-to-end lifecycle, from planning and requirements through development, testing, deployment, and operations.

Execute Agentic AI transformation programs, including champion networks, wave-based enablement, organizational change management, and large-scale onboarding.

Design and enable Agentic AI solutions and workflows utilizing concepts such as multi-agent orchestration, MCP integrations, AI assistants, and workflow automation within the GitHub ecosystem.

Lead developer enablement and capability uplift initiatives through hands-on coaching, workshops, office hours, and adoption acceleration activities.

Integrate AI-powered automation into CI/CD and platform engineering workflows, leveraging GitHub Actions and developer platform capabilities to improve quality, velocity, and operational efficiency.

Define business use cases, success metrics, ROI measures, and adoption KPIs to demonstrate the value of AI transformation through productivity gains, code quality improvements, engineering effectiveness, and business outcomes.

Skills – GitHub & AI-DLC Transformation

GitHub Enterprise Cloud (GHEC) / Managed Users (EMU), Repository & Organization Administration

GitHub Copilot, Copilot Agents, AI-Assisted Software Engineering

Agentic AI, Multi-Agent Workflows, MCP (Model Context Protocol), RAG, AI Workflow Orchestration

Spec-Driven Development, Agent-Assisted Engineering

AI Readiness Assessments, Adoption Roadmaps, Change Management, Engineering Enablement, Copilot Adoption Analytics & KPI Measurement

GitHub Actions, Workflow Automation, CI/CD Modernization, Reusable Workflows

GitHub Advanced Security (GHAS), Secret Scanning, Secure AI-Native SDLC Practices

Experience Required

12+ years of industry experience, including 6+ years leading DevOps transformation, software engineering enablement, and enterprise-scale adoption programs across complex technology organizations.

Proven expertise in conducting discovery and readiness assessments, evaluating tool adoption, GitHub Copilot usage, SDLC maturity, development workflows, testing practices, deployment processes, and developer productivity challenges.

Skills

Agentic AI, Developer Experience, GitHub Copilot

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact - touching billions of lives in the process.