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About the Role
The Cloud Security team is seeking a Principal Software Engineer to lead the architecture, design, and delivery of production AI-powered security systems. This role involves leveraging large language models, agentic workflows, and multi-modal signal processing to enhance detection, investigation, and risk reduction across Microsoft’s cloud environment.
Responsibilities
- Design, build, and operate AI-powered software services for cloud security engineering.
- Develop AI-enabled workflows to assist teams in analyzing information and making data-driven decisions.
- Build scalable systems utilizing LLMs, RAG, embeddings, semantic search, and knowledge graphs.
- Create evaluation and monitoring frameworks to assess AI system quality, reliability, and safety.
- Partner with cross-functional teams to translate AI advances into practical platform capabilities.
- Incorporate responsible AI, privacy, and security compliance into system design and operations.
- Ensure production readiness including architecture, API design, scalability, and observability.
- Provide technical leadership through design documentation, code reviews, and architecture discussions.
- Mentor engineers to promote operational excellence and high-quality implementation.
- Use telemetry and partner feedback to continuously improve system reliability and impact.
Requirements
- Bachelor's Degree in Computer Science or related field, or equivalent experience.
- 6+ years of technical engineering experience with languages such as C, C++, C#, Java, JavaScript, or Python.
- Ability to pass the Microsoft Cloud background check upon hire and every two years thereafter.
Skills
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Agentic workflows
- Knowledge graphs
- Multi-modal signal processing
- Distributed systems
- Applied AI and Machine Learning
- Cloud security
- Responsible AI
- Vector databases
- Semantic search
- API design
- System observability
- Azure services
- Kubernetes
Experience Level
- 6+ years of technical engineering experience
- 5+ years of hands-on experience building AI/ML or LLM-enabled systems
Education Level
- Bachelor's Degree in Computer Science or related field
- Master’s degree or PhD in Computer Science, Machine Learning, or AI preferred
About the Company
- Microsoft is a global enterprise service company focused on empowering every person and organization to achieve more.
- The Cloud & AI organization is dedicated to securing digital technology platforms and cloud environments.
Equal Opportunity
- Microsoft is an equal opportunity employer committed to an inclusive work environment for all employees.