Principal Jobs at Microsoft with Visa Sponsorship
Principal jobs at Microsoft sit at the intersection of technical depth and organizational influence, covering engineering, product, program, and research functions. Microsoft has a well-established immigration infrastructure and actively sponsors international talent for Principal-level positions across its U.S. offices.
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You’re joining Core AI, the team at the forefront of redefining how software is built and experienced. We create the foundational platforms, services, and developer experiences that power next-generation applications using Generative AI, enabling developers and enterprises to unlock the full potential of AI to build intelligent, adaptive, and transformative software.
You will be a technical contributor driving the applied science foundation for observability in AI agents and multi-agent systems running at scale. This role focuses on understanding how intelligent agents behave in production—their quality, safety, reliability, cost, and evolution over time. You will develop and apply scientific methods, evaluation frameworks, and measurement systems that help teams understand, benchmark, diagnose, and safely improve agent-based systems with confidence.
AI agents introduce fundamentally new observability challenges: non-deterministic execution, tool- and model-driven decision paths, emergent multi-agent behaviors, and quality signals that go far beyond traditional uptime metrics.
We are hiring multiple Senior and Principal Applied Scientists who will operate at the intersection of agent architecture, telemetry, evaluation science, and responsible AI, shaping how Microsoft measures and improves observable AI systems.
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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency.
- Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance.
- Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes.
- Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments.
- Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis.
- Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection.
- Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems.
- Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation.
- Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization.
Technical Focus Areas
- Evaluation science for agent and multi-agent systems: offline, online, and continuous evals; benchmark design; synthetic data; task success measurement
- Agent and multi-agent architectures: planners, tool use, memory, orchestration, and coordination patterns
- Applied machine learning and statistical methods for behavioral analysis, anomaly detection, experimentation, and regression detection
- Observability data for AI systems: traces, logs, metrics, evaluations, and cost/performance signals
- Safety and responsible AI signals: policy compliance, risk detection, auditability, and safe logging
- Benchmarking and experimentation for agent systems, including A/B tests, canaries, and staged rollouts
- Explainability and diagnosis for complex agent workflows and model-driven decision paths
Qualifications
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
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.
Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
- Experience designing evaluation methodologies, experiments, or measurement systems for complex intelligent or distributed systems
- Experience analyzing large-scale production or experimental data to derive actionable insights and drive product or system improvements
- Strong coding and prototyping skills in Python or similar languages, with the ability to work closely with engineering teams on production-facing systems
- Demonstrated ability to lead cross-team technical direction through scientific depth, influence, and strong problem framing
- Advanced degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field
- Experience building or evaluating LLM- or agent-based systems in production
- Familiarity with agent frameworks such as LangChain, LangGraph, OpenAI SDK, or equivalent orchestration frameworks
- Experience with evaluation frameworks for AI systems, including benchmarking, regression analysis, and human-in-the-loop assessment
- Experience with observability systems, telemetry analysis, or distributed tracing data in large-scale environments
- Background in AI safety, guardrails, and responsible AI measurement
- Experience with experimentation platforms, causal inference, or statistical methods for product and model evaluation
- Experience working with cloud-scale monitoring platforms such as Azure Monitor / Application Insights or equivalent
Compensation
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:
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.
Overview
You’re joining Core AI, the team at the forefront of redefining how software is built and experienced. We create the foundational platforms, services, and developer experiences that power next-generation applications using Generative AI, enabling developers and enterprises to unlock the full potential of AI to build intelligent, adaptive, and transformative software.
You will be a technical contributor driving the applied science foundation for observability in AI agents and multi-agent systems running at scale. This role focuses on understanding how intelligent agents behave in production—their quality, safety, reliability, cost, and evolution over time. You will develop and apply scientific methods, evaluation frameworks, and measurement systems that help teams understand, benchmark, diagnose, and safely improve agent-based systems with confidence.
AI agents introduce fundamentally new observability challenges: non-deterministic execution, tool- and model-driven decision paths, emergent multi-agent behaviors, and quality signals that go far beyond traditional uptime metrics.
We are hiring multiple Senior and Principal Applied Scientists who will operate at the intersection of agent architecture, telemetry, evaluation science, and responsible AI, shaping how Microsoft measures and improves observable AI systems.
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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency.
- Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance.
- Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes.
- Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments.
- Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis.
- Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection.
- Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems.
- Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation.
- Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization.
Technical Focus Areas
- Evaluation science for agent and multi-agent systems: offline, online, and continuous evals; benchmark design; synthetic data; task success measurement
- Agent and multi-agent architectures: planners, tool use, memory, orchestration, and coordination patterns
- Applied machine learning and statistical methods for behavioral analysis, anomaly detection, experimentation, and regression detection
- Observability data for AI systems: traces, logs, metrics, evaluations, and cost/performance signals
- Safety and responsible AI signals: policy compliance, risk detection, auditability, and safe logging
- Benchmarking and experimentation for agent systems, including A/B tests, canaries, and staged rollouts
- Explainability and diagnosis for complex agent workflows and model-driven decision paths
Qualifications
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
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.
Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
- Experience designing evaluation methodologies, experiments, or measurement systems for complex intelligent or distributed systems
- Experience analyzing large-scale production or experimental data to derive actionable insights and drive product or system improvements
- Strong coding and prototyping skills in Python or similar languages, with the ability to work closely with engineering teams on production-facing systems
- Demonstrated ability to lead cross-team technical direction through scientific depth, influence, and strong problem framing
- Advanced degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field
- Experience building or evaluating LLM- or agent-based systems in production
- Familiarity with agent frameworks such as LangChain, LangGraph, OpenAI SDK, or equivalent orchestration frameworks
- Experience with evaluation frameworks for AI systems, including benchmarking, regression analysis, and human-in-the-loop assessment
- Experience with observability systems, telemetry analysis, or distributed tracing data in large-scale environments
- Background in AI safety, guardrails, and responsible AI measurement
- Experience with experimentation platforms, causal inference, or statistical methods for product and model evaluation
- Experience working with cloud-scale monitoring platforms such as Azure Monitor / Application Insights or equivalent
Compensation
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:
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.
See all 31+ Principal Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Principal Jobs at Microsoft.
Get Access To All JobsTips for Finding Principal Jobs at Microsoft
Frame your scope with measurable organizational impact
Microsoft evaluates Principal candidates on cross-team influence and systems-level thinking, not just technical output. Before applying, document projects where your decisions shaped architecture, product direction, or engineering standards across multiple teams or organizations.
Target roles aligned with Microsoft's current investment areas
Principal openings at Microsoft cluster heavily in Azure infrastructure, AI platform, and developer tooling. Searching by business group rather than just title helps you find roles where sponsorship decisions are already built into headcount planning.
Use Migrate Mate to filter verified sponsoring Principal roles
Not every Microsoft Principal listing explicitly states sponsorship eligibility. Use Migrate Mate to surface roles where Microsoft has an active sponsorship track record for this level, saving you from investing in a process that stalls at the offer stage.
Understand which visa applies to your citizenship before interviewing
Microsoft sponsors multiple visa categories, including H-1B, E-3, and H-1B1 visa. Knowing which pathway applies to your citizenship before your first recruiter call lets you ask targeted questions and signals you're prepared for the immigration conversation, not caught off guard by it.
Prepare for the LCA process before your offer letter arrives
DOL requires Microsoft to file a certified Labor Condition Application before your H-1B petition can be submitted to USCIS. Understanding this sequence helps you set realistic start date expectations with your hiring manager and avoid unnecessary delays in your onboarding timeline.
Negotiate your start date around USCIS processing realities
H-1B cap-subject petitions are tied to the October 1 fiscal year start. If you clear the lottery late in the cycle, your start date is fixed regardless of when Microsoft extends your offer, so build that buffer into your conversations with the recruiter early.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Principals?
Yes, Microsoft sponsors H-1B visas for Principal-level roles across engineering, product, research, and program management functions. Microsoft has one of the most active employer immigration programs in the technology industry, with dedicated internal immigration counsel that manages USCIS petitions, premium processing decisions, and multi-year Green Card planning for sponsored employees.
Which visa types does Microsoft use for Principal roles?
Microsoft sponsors H-1B visas for most international Principal candidates, along with E-3 visas for Australian citizens and H-1B1 visas for candidates from Singapore and Chile. For longer-term pathways, Microsoft also supports EB-2 and EB-3 Green Card sponsorship for Principals who reach a point of permanent residency eligibility within the organization.
What qualifications does Microsoft expect for Principal roles?
Principal positions at Microsoft generally require deep domain expertise, demonstrated influence across organizational boundaries, and a track record of driving large-scale technical or product decisions. Most roles expect extensive years of relevant industry experience. A bachelor's degree in a relevant field is typically required to satisfy USCIS specialty occupation standards for H-1B sponsorship.
How do I apply for Principal jobs at Microsoft?
Applications go through Microsoft's careers portal, but filtering specifically for sponsorship-eligible openings takes extra effort. Migrate Mate surfaces Principal roles at Microsoft where visa sponsorship has been confirmed, so you can prioritize applications without wasting time on listings that don't support international candidates. Once you apply, expect a recruiter screen followed by a structured interview loop.
How do I plan my timeline when pursuing a sponsored Principal role at Microsoft?
If your role requires a new H-1B cap-subject petition, USCIS registration opens in March and approved petitions have an October 1 start date. Plan for at least six months between offer acceptance and your legal work start date. Microsoft's immigration team typically coordinates filing through external counsel, but your start date is ultimately constrained by USCIS timelines, not the offer itself.