How do you know an AI product is actually getting better, and how do you prove it, at scale, before millions of people feel the difference? We build and operate the offline evaluation platform that gates Microsoft Copilot’s quality: teams across Copilot depend on us to run their scenarios against the product, score the responses, and produce the scorecards that decide what ships. We do this at the scale of one of the world’s largest AI products, inside a strict enterprise compliance boundary. As Copilot becomes a fleet of autonomous agents, the way we measure quality has to be reinvented, and you will lead that reinvention.
As a Principal Software Engineer on the Copilot evaluation team, you will own the technical vision for a platform built AI-first and agentic-first: one where autonomous agents are not just measured, but help operate, extend, and heal the system itself. You will take on our hardest problem, delivering trustworthy results across a deep chain of dependencies (Copilot’s model, retrieval, and scoring services) that we drive far outside their normal operating envelope, hundreds of calls per job, under relentless and growing load. You will architect how we evaluate agentic Copilot experiences, from multi-turn trajectories and tool selection to end-to-end task outcomes, and set the standard for how the whole product defines and measures quality. This opportunity will allow you to shape the evaluation strategy for one of the world’s most visible AI products, work at the frontier of large-scale agentic systems and reliability engineering, and grow your influence as a technical leader across a large engineering organization.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Sets the technical direction for the Copilot offline evaluation platform and partners with teams across the Copilot organization to turn ambiguous quality questions into rigorous, reproducible evaluations: the scenarios, metrics, and scorecards that gate what ships.
Leads the architecture of an AI-first, agentic-first evaluation platform in which autonomous agents are first-class operators, designing the services, pipelines, and tooling that agents can run, extend, and reason about, with the observability and guardrails that make agent-driven operation trustworthy.
Owns the platform’s hardest challenge: delivering trustworthy results across a deep chain of dependencies driven far outside their normal operating envelope, designing for graceful degradation, intelligent retry, dependency-aware gating, and reliability that holds under sustained, growing load.
Defines how Copilot’s agentic experiences are evaluated end to end, from multi-turn trajectories and tool selection to task outcomes and modalities such as UX and voice, building the simulation, scraping, and scoring capabilities that make agent behavior measurable.
Leads by example and mentors engineers across teams to produce extensible, maintainable systems, driving modernization of the evaluation runtime and platform so it scales with fast-growing demand while improving cost and latency.
Stays at the frontier of agentic systems, large-scale AI evaluation, and autonomous operations, bringing in new trends and patterns and sharing that knowledge to raise the bar for how the entire Copilot organization measures quality.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to .Net, Java, JavaScript, Rust or Python
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to .Net, Java, JavaScript, Rust or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to .Net, Java, JavaScript, Rust or Python
- OR equivalent experience.
- Deep experience with large-scale distributed systems and reliability engineering, especially delivering dependable outcomes across many interacting service dependencies operating under heavy or unusual load.
- Experience building AI-first or agentic systems, and designing systems, APIs, and tooling intended to be operated by autonomous agents, including the observability, guardrails, and safety mechanisms that make agent-driven operation trustworthy.
- Experience with AI/ML evaluation, measurement, or benchmarking systems, such as LLM-based grading, metric design, or large-scale data and quality pipelines.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including .Net, Java, JavaScript, Rust or Python OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud background check upon hire and every two years.
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including .Net, Java, JavaScript, Rust or Python OR Bachelor's Degree AND 12+ years technical engineering experience OR equivalent experience.
- Deep experience with large-scale distributed systems and reliability engineering, delivering dependable outcomes across many interacting service dependencies under heavy or unusual load.
- Experience building AI-first or agentic systems, including designing systems, APIs, tooling, observability, guardrails, and safety mechanisms for autonomous agents.
- Experience with AI/ML evaluation, measurement, or benchmarking systems (e.g., LLM-based grading, metric design, large-scale data and quality pipelines).
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.







