Lead AI Engineer – Developer Productivity & Copilot Platforms

Overview

We are seeking a Lead AI Engineer to drive developer productivity through Copilot‑first workflows, Generative AI solutioning, and autonomous agent programming. This role is critical to advancing our Developer Experience (DX) strategy by enabling modern, AI‑augmented development practices across engineering teams.

You will serve as a hands‑on technical leader and evangelist for GitHub Copilot, Microsoft Copilot Studio, and other generative AI products such as Microsoft Power Platform, while researching, evaluating, and operationalizing emerging AI capabilities that measurably improve how software is built and delivered.

Success is defined by adoption, efficiency gains, and scalable enablement, not experimentation alone.

Key Responsibilities

GitHub Copilot & Developer Productivity Evangelism

• Drive adoption and advanced usage of GitHub Enterprise and GitHub Copilot, including Copilot Chat and autonomous agent‑based workflows.
• Identify high‑impact use cases across the SDLC (coding, testing, refactoring, documentation, CI/CD).
• Establish best practices, patterns, and guardrails for AI‑assisted development.

Generative AI & Autonomous Agent Programming

• Design and implement agentic AI solutions that automate and orchestrate developer workflows.
• Build and evaluate autonomous and semi‑autonomous agents for tasks such as code generation, validation, remediation, and workflow automation.
• Prototype and productionize emerging AI technologies with clear DX value.

Copilot Studio & Power Platform Enablement

• Build and extend copilots using Microsoft Copilot Studio to support engineering and operational use cases.
• Leverage Power Platform (Power Automate, Power Apps) to integrate AI capabilities into existing tools and workflows.
• Enable low‑code / pro‑code collaboration through reusable components and templates.

Platform Strategy & Gap Identification

• Assess existing developer tooling and AI capabilities to identify gaps, redundancies, and opportunities.
• Define scalable architectures and reusable frameworks for AI development.
• Partner with security, platform, and architecture teams to ensure compliant and responsible AI usage.

Technical Leadership

• Act as a subject matter expert for Copilot platforms and Generative AI development tools.
• Mentor engineers and influence teams through guidance, demos, and hands‑on enablement.
• Contribute to roadmap planning for AI‑driven DX initiatives.

Agile Engineering Best Practices

• Identify and recommend improvements to the software development lifecycle and best practices in agile engineering.
• Provide input into various software development strategies (e.g., unit testing, acceptance testing, continuous delivery and integration, release and deployment for frequent and reliable release).
• Develop the roadmap and guidelines for tailoring agile practices to a complex and dynamic software development project.

Project Management

• Prioritize multiple project plans, making final decisions about priorities, timing and resources.
• Keep abreast of the progress of multiple projects within a program or across the department; coach project managers to adjust priorities or timelines as needed.
• Monitor resource usage across projects or programs, identifying areas or synergy or redundancy and looking for ways to optimize efficiency.

Troubleshooting

• Provide guidance and expertise to analyze data and patterns and assess the root cause of complex, non-routine problems.
• Collaborate with others across disciplines to brainstorm and execute solutions to the most complex, uncommon problems.
• Guide the execution of solutions for complex, non-routine issues; redirect solution implementation if desired results were not originally met.

Application Development/Programming

• Identify areas for improvement and develop innovative enhancements using available software development tools following design requirements of customer.

System and Technology Integration

• Interpret internal/external business challenges and recommend integration of the appropriate systems, applications and technology to provide a fully functional solution to a business problem.

Technology Advising/Consulting

• Exceed customers’ expectations by listening for unexpressed needs; connect customer needs to relevant service offerings and new technology.
• Lead others in resolving technical issues in a timely manner; follow up with customers to ensure satisfaction.
• Partner with the business to integrate new technologies into business solutions; create and communicate a vision of the technology requirements for the future state of the business.

Required Qualifications

• Strong software engineering background with hands‑on experience (Python, Java, C#, or similar).
• Practical experience building Generative AI solutions in production environments.
• Experience with GitHub Copilot and AI‑assisted development workflows.
• Familiarity with LLMs, prompt engineering, embeddings, and RAG patterns.
• Proven ability to evaluate and operationalize emerging technologies.

Preferred Qualifications

• Experience with autonomous or agentic AI programming.
• Hands‑on experience with Microsoft Copilot Studio and Power Platform.
• Background in Developer Experience (DX), platform engineering, or productivity tooling.
• Experience working in large‑scale or regulated enterprise environments.

What Success Looks Like

• Measurable improvements in developer velocity and workflow efficiency.
• Broad adoption of Copilot‑based development practices.
• Reduced friction across the software development lifecycle.
• Scalable, reusable AI patterns adopted across teams.

Why This Role Matters

• You will shape how AI transforms software development at scale.
• You’ll influence modern, Copilot‑first engineering workflows.
• Your work will directly enable engineers to focus on higher‑value problem solving.
• You’ll help define the future of AI‑driven developer productivity.

Additional Criteria

• Job Grade: 30G
• Must be currently located in the same geographic location as the following: Atlanta, GA, Mahwah, NJ, Parsippany, NJ, Louisville, KY, Timonium, MD.
• Shift: Monday–Friday, morning shift (Hybrid schedule: 3 days in office and 2 days remote)
• Last day to apply is Monday, May 4 at 11:59 PM

Compensation and Benefits

• Base pay ranges from $121,440/year to $225,000/year.
• Pay varies based on market location, knowledge, skills, education/training, and experience.
• Eligibility for annual short-term and/or long-term incentive compensation programs.
• Benefits include Medical/prescription drug coverage, Dental & Vision Benefits, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, Educational Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick/Family and Medical Leave time as required by law, Discounted Employee Stock Purchase Program.

Equal Opportunity

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Employer will sponsor visas for specific positions. UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.