below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$174,600–$242,524
— the blue band above.
At the midpoint, this role pays about
$231k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Principal Software Engineer - Agentic Engineering joins the Windows Silicon and System Integration organization to redefine engineering workflows through agentic AI. This role involves setting the technical vision and multi-year strategy for how agents transform design, testing, debugging, and release workflows. You will architect and build production-ready solutions, leading cross-functional AI squads to move prototypes into trusted workflows. Key responsibilities include establishing reusable patterns for orchestration, context engineering, tool integration, and observability while ensuring responsible AI standards. You will utilize telemetry, engineering data, and diagnostics to create closed-loop systems that automate issue detection and remediation. The work addresses complex systems challenges in Windows, specifically focusing on performance, power, reliability, and compatibility across various silicon partners and device form factors to improve overall product quality.
What does a Software Engineer earn?
Median $197400 from 2576 postings across 150 companies.
Set the multi-year technical strategy for agentic engineering across the Windows Silicon and System Integration organization.
Architect and build production-ready agentic systems that automate diagnostics, debugging, and issue detection workflows.
Lead cross-functional AI squads from initial experimentation through deployment and continuous improvement.
Establish rigorous evaluation methods, quality standards, and safety safeguards for production AI systems.
Create technical narratives and demonstrations to build organizational momentum and credibility with engineering leadership.
Define reusable technical patterns for orchestration, context engineering, and tool integration at scale.
Measure and report on engineering impact regarding productivity, product quality, and developer experience.
Mentor engineers and develop communities of practice to multiply technical capability across the organization.
What we're looking for
Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software, network, service, or systems engineering.
Equivalent experience to the degree and years of experience requirement is accepted.
Ability to pass the Microsoft Cloud background check upon hire and every two years thereafter.
Experience using modern AI-assisted engineering tools in software development workflows (preferred).
Experience leading cross-functional teams or AI squads to deliver complex technical initiatives (preferred).
Experience moving agentic projects from prototypes into production deployment with measurable improvements (preferred).
Experience architecting production agentic systems including orchestration, prompt engineering, and observability (preferred).
Experience in operating system development, driver development, performance/power analysis, responsible AI, or security (preferred).
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