1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Lead the architecture, design, and implementation of Windows AI platform components, services, APIs, SDKs, evaluation systems, and developer tooling.
- Translate ambiguous platform and product needs into 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 maintaining API consistency and backward compatibility.
- Drive quality strategy covering automated evaluation, output-quality regression, performance, power, memory, reliability, security, privacy, and responsible AI validation.
- Lead technical investigations and guide prototypes into production platform features.
- Own observability, incident prevention and response, safe rollout, servicing, backward compatibility, and continuous improvement.
- Partner with product managers, applied scientists, engineering teams, and technical leaders to align dependencies and deliver platform solutions.
- Improve engineering standards through design reviews, code reviews, maintainability, operability, and mentoring.
- Communicate technical strategy, risks, trade-offs, and outcomes to engineering and leadership audiences.
Requirements
- Bachelor's 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#, or Python.
- 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: deep experience with AI/ML platforms, model-serving or inference systems, agent frameworks, evaluation infrastructure, or AI developer tooling.
- Preferred: experience defining quality metrics, evaluation datasets, regression gates, experimentation frameworks, and release criteria for AI systems.
- Preferred: experience with Azure, cloud-native architecture, distributed systems, observability, security, and production operations.
- Preferred: experience with Windows development technologies, Visual Studio, Windows SDK, WinAppSDK, low-level systems programming, Windows servicing, OS integration, compatibility, or multi-device platform architecture.
- Preferred: experience designing public developer APIs or contributing to open-source projects and developer ecosystems.
- Preferred: working knowledge of responsible AI, privacy, security, accessibility, compliance, and data-governance requirements.
Benefits
- Microsoft is an equal opportunity employer committed to inclusion and provides reasonable accommodation during the application and recruiting process.
- Benefits and perks may vary depending on the nature of employment and the country where the employee works.
- The position will remain open for a minimum of 5 days and applications are accepted on an ongoing basis until the position is filled.
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.