Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.

The Security AI Platform team builds and operates production infrastructure that powers AI-native security capabilities at Microsoft scale. The Platform + Apps group develops the core product, including microservices, ML inference pipelines, APIs, and user interfaces. We work closely with the AI Operations team who handles deployments, pipelines, and production reliability.

We are seeking an Senior AI Engineer to implement features across our backend services. In this role, you will build microservice components, API endpoints, and data pipelines within established architectures. You will work with senior engineers who will guide your technical growth while you take ownership of features within the platform.

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.

• Implement backend microservices and API endpoints using C#/.NET and Python within established architectures, deployed on Azure Kubernetes Service (AKS)
• Build features across ML inference pipelines: integrate with rule engines, LLM serving platforms, and various model runtime services
• Implement data pipelines and storage integrations: Event Hub connectors, Kusto queries, Redis caching layers, and configuration management
• Add observability to services: OpenTelemetry instrumentation, logging, metrics collection, and health check endpoints
• Optimize service performance: implement caching strategies, batching, and response streaming under guidance from senior engineers
• Write comprehensive automated tests: unit tests, integration tests, and API contract tests
• Participate in design discussions and code reviews; learn architectural patterns and effective practices from senior engineers
• Document APIs, service behaviors, and operational procedures
• Deploy and debug services in development environments; coordinate with AI Operations for production deployments
• Fix bugs and address issues; participate in incident triage with guidance from senior engineers
• Collaborate with frontend engineers to understand API requirements and deliver endpoints they need
• Embody our culture and values

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years software engineering experience building backend services
• 4+ years proficiency in C#/.NET or similar languages with solid API design practices
• 2+ years hands-on experience with ML/AI systems (coursework, projects, or production)

• 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:

• Experience building on Azure: AKS, Event Hub, Cosmos DB, Redis, Key Vault, Managed Identity
• Exposure to ML inference technologies: model serving frameworks, inference runtimes, or ML pipelines
• Distributed systems fundamentals: concurrency, messaging patterns, caching, and basic performance optimization
• Experience with gRPC and Protocol Buffers in addition to REST APIs
• CI/CD and containerization experience: Docker, Kubernetes basics, Azure DevOps or GitHub Actions
• Observability experience: logging, metrics, tracing, and basic debugging in distributed systems
• Security domain exposure: threat detection concepts, attack patterns, or security tooling
• Track record shipping backend features used by other teams or customers

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Software Engineering 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:
https://careers.microsoft.com/us/en/us-corporate-pay

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, read more about requesting accommodations.