Microsoft
AI & Machine LearningDirect employer career site

Principal Software Engineer

Pay
$142,800 – $274,800 per year
Location
United States
Job type
Full-time
Level
Executive
Experience
6+ years
Education
Bachelor's degree
Listed
28 days ago

Skills & highlights for this role

  • Microsoft Cloud background check
  • LLM-powered agents
  • multi-step workflow orchestration
  • automated testing
  • distributed systems
  • cloud services

Also useful

  • multi-agent coordination
  • durable workflow execution
  • agent evaluation traces

Overview

Help engineers deliver better software with less repetitive work through AI. As a Principal Software Engineer on the EPICS team that is part of the Agent 365 Foundations organization, you will build LLM-powered agents that translate engineering intent into tested, reviewable changes.

You will remain hands-on in design, coding, and debugging while shaping technical direction across teams and making agentic workflows reliable, secure, and useful in day-to-day engineering. This individual-contributor role combines deep AI application engineering with practical judgment about what to automate and where people must remain in control.

Success is measured by verified engineering outcomes—not simply by the volume of generated code. You will help define and track validated task completion, review usefulness, human intervention and rework, cycle time, defect rates, and cost per verified outcome.

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

  • Build agents that carry authorized work from intent and design through implementation, test execution, code review, and remediation. Produce pull requests with attributable changes and evidence of what was checked, what passed, and what still needs review.
  • Design orchestration, tool interfaces, and context retrieval around real repositories, build and test systems, and CI pipelines. Use durable state and explicit ownership so interrupted work can resume and handoffs are recoverable.
  • Create LLM and agent evaluations and regression tests grounded in engineering tasks. Debug failures across models, prompts, context, and tools; use results to qualify changes and balance quality, reliability, latency, and cost.
  • Build secure, bounded execution with scoped permissions, explicit approval for privileged actions, and human review before changes are accepted. Make agent actions observable and attributable, with clear stop conditions when authorization or evidence is insufficient.
  • Deliver across teams from early validation to adoption. Align interfaces, dependencies, and ownership; learn from engineers using the workflows, compare against meaningful baselines, and connect usage to verified productivity and quality outcomes.
  • Set technical direction and turn ambiguous problems into achievable milestones. Write and review high-quality code and tests, simplify architecture, and mentor engineers through design, debugging, and delivery.

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, C, C++, C#, Java, JavaScript, 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.

Preferred Qualifications

  • 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, C, C++, C#, Java, JavaScript, 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, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Hands-on experience building and delivering LLM-powered applications or agents that use tools and execute multi-step workflows, beyond personal use of AI coding assistants.
  • Solid software engineering fundamentals, including hands-on coding, debugging, and automated testing, with sound judgment about abstractions, interfaces, and maintainability.
  • Experience designing and operating distributed systems or cloud services, including state management, observability, security, reliability, and recovery from partial failures.
  • Ability to evaluate and improve agent behavior using task-level tests, traces, and failure analysis, and to distinguish plausible model output from correct, reproducible engineering results.
  • Demonstrated principal-level technical leadership across teams, including shaping architecture, aligning delivery, influencing decisions without direct authority, and mentoring engineers through hands-on work.
  • Experience with multi-agent coordination, durable workflow execution, or recovery from interrupted and partially completed agent tasks.
  • Depth in repository-aware context retrieval, code understanding, model routing, or fallback strategies, including trade-offs among quality, latency, reliability, and cost.
  • Experience building developer tools, repository services, build and test infrastructure, CI integrations, automated code review, or repair workflows used by engineering teams.
  • Experience with extensibility frameworks, plugin architectures, protocol design, declarative programming models, or manifest-driven extensibility.
  • Experience with Microsoft Copilot, Azure AI, or similar agentic platforms.
  • Experience scaling adoption of AI-powered engineering workflows and designing evaluations or experiments that connect agent use to measurable engineering outcomes.

#CAP #Agent365 #A365

Pay and benefits

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:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Read the original posting

From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Principal Software Engineer role at Microsoft?

The Principal Software Engineer posting at Microsoft states compensation of $142,800 – $274,800 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Microsoft's official career site.

Where is the Principal Software Engineer job at Microsoft located?

This Principal Software Engineer position at Microsoft is located in United States. Always check Microsoft's application page for specific state eligibility or relocation policies.

What qualifications are required for Principal Software Engineer at Microsoft?

For the Principal Software Engineer role, Microsoft highlights 6+ years of relevant experience; a bachelor's degree; experience with LLM-powered agents, multi-step workflow orchestration, automated testing, distributed systems, cloud services. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Principal Software Engineer position at Microsoft?

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