Job Title:
Principal Engineer I - AI Engineering
Location:
Block 23
What you'll do:
As a Principal Engineer I, you'll provide SME expertise in GitHub Copilot, agentic engineering, and adjacent technology domains to ensure enterprise solutions are secure, compliant, reliable, and supportable. You'll serve as a technical owner and strategic engineering lead for enterprise GitHub Copilot and the organization's agentic software engineering capabilities, providing technical direction for their architecture, configuration, integration, governance, lifecycle, and evolution.
This role is responsible for defining and evolving the technical vision, architecture, engineering patterns, governance, and capabilities of the enterprise Agentic SDLC Harness, including reusable agents, skills, instructions, rules, plugins, MCP integrations and other AI-assisted engineering capabilities. As a Principal Engineer I, you will partner with Development, Architecture, DevOps, Quality Engineering, Security, Cloud and Governance teams to establish a scalable and secure ecosystem that accelerates software delivery while maintaining engineering standards and controls.
You'll partner with project sponsors, engineering teams, platform owners, and technology leaders to refine requirements, evaluate technical approaches, and drive solutions from concept through enterprise adoption. You'll provide technical leadership across organizational boundaries, influence engineering standards and architectural decisions, communicate complex technical concepts to both engineering and leadership audiences, and mentor engineers in GitHub Copilot, agentic engineering, DevOps, and related software engineering practices.
This role requires deep technical expertise in GitHub Copilot, agentic software engineering, modern software development, GitHub Enterprise, Azure DevOps, DevOps and platform engineering, CI/CD, APIs and integrations, development frameworks, identity and access, and secure software delivery. Strong strategic and critical thinking, technical leadership, communication, and collaboration skills are required to influence engineering practices and establish trusted relationships across development teams, business partners, technology leadership, and governance functions. Serve as an enterprise technical owner and SME for GitHub Copilot and AI-assisted software engineering.
Define the technical strategy, architecture, standards, configuration model, and operating model for enterprise GitHub Copilot and agentic software engineering capabilities.
Engineer, configure, and evolve enterprise GitHub Copilot capabilities, including managed settings, enterprise and organizational policies, model availability, custom agents, skills, instructions, rules, plugins, approved MCP servers, and related extensibility capabilities.
Evaluate new and evolving GitHub Copilot and agentic engineering capabilities through controlled testing and experimentation, and determine enterprise readiness, security and governance requirements, adoption strategy, implementation approach, and business value.
Design and evolve the enterprise Agentic SDLC Harness that defines and governs how AI agents and capabilities interact with developers, source repositories, CI/CD platforms, development tools, and enterprise systems, including patterns for orchestration, tool access, context management, permissions, and human oversight.
Design and implement technical guardrails for AI-assisted engineering, including access controls, approved tools and models, MCP server permissions, agent capabilities, repository interactions, data handling, and other controls required to balance developer productivity with enterprise security, regulatory, compliance, and risk requirements.
Establish and operate lifecycle management practices for Copilot and agentic engineering configurations, including source control, peer review, testing, approval, versioning, staged deployment, promotion of changes across test and enterprise…