Senior Software Engineer AI Platform

• Lead the architecture design and implementation of high-quality Windows AI platform components services APIs SDKs evaluation systems and developer tooling.

• Translate ambiguous product and platform needs into clear technical plans milestones interfaces and engineering investments.

• Define scalable patterns for model onboarding inference orchestration versioning compatibility telemetry and lifecycle management.

• Design architecture that scales across Windows device classes silicon partners application scenarios and release channels while preserving API consistency backward compatibility and manageable operational cost.

• Drive end-to-end quality strategy including automated evaluation output-quality regression performance power memory reliability security privacy and responsible AI validation.

• Lead open-ended technical investigations and guide successful prototypes from experimentation into robust production platform features.

• Own observability incident prevention and response safe rollout servicing backward compatibility and continuous improvement.

• Partner across organizational boundaries with product managers applied scientists engineering teams and senior technical leaders to align dependencies and deliver cohesive platform solutions.

• Raise engineering standards through design and code reviews maintainability operability and mentoring of other engineers.

• Communicate technical strategy risks trade-offs and outcomes clearly to engineering and leadership audiences.

• Champion AI-assisted engineering practices automation and data-driven decision-making to improve development velocity and software quality.

Required Qualifications

• Bachelors Degree in Computer Science or a related technical discipline AND 8 years of professional software development experience or equivalent experience.

• Strong proficiency in one or more programming languages such as C C# Python or equivalent.

• Strong understanding of software and API design testing debugging data structures algorithms and source-control practices.

• Demonstrated experience designing and shipping complex production software developer platforms cloud services or distributed systems.

• Proven ability to lead technical execution across multiple contributors or partner teams and deliver through ambiguity.

• Strong problem-solving analytical communication and collaboration skills.

Preferred Qualifications

• Deep experience with AI/ML platforms model-serving or inference systems agent frameworks evaluation infrastructure or AI developer tooling.

• Experience defining quality metrics evaluation datasets regression gates experimentation frameworks and release criteria for AI systems.

• Experience with Azure cloud-native architecture distributed systems CI/CD observability security and production operations.

• Experience with Windows development technologies Visual Studio Windows SDK WinAppSDK low-level systems programming Windows servicing OS integration compatibility or multi-device platform architecture.

• Experience designing public developer APIs or contributing to open-source projects and developer ecosystems.

• Working knowledge of responsible AI privacy security accessibility compliance and data-governance requirements.

What Success Looks Like

• Establishes architecture and engineering patterns adopted across multiple platform capabilities.

• Creates platform foundations that can be adopted broadly across Windows products and partner experiences without fragmenting APIs or quality standards.

• Delivers predictable measurable improvements in platform quality performance reliability and developer experience.

• Identifies critical risks and dependencies early and drives pragmatic resolution across teams.

• Grows team capability through technical leadership mentoring and clear decision-making.

Culture and Inclusion

We value curiosity customer focus engineering excellence respectful collaboration and a growth mindset. We welcome applicants with diverse backgrounds and perspectives and are committed to creating an environment where everyone can do their best work and feel that they belong.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by applicable laws regulations and ordinances. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Reasonable accommodation is available during the application and recruiting process. Benefits and perks may vary depending on the nature of employment and the country where you work.

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