Principal Software Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Cybersecurity
In short
Responsibilities
- Define architecture and long-term technical strategy for enterprise AI platform capabilities.
- Architect production-grade AI and Retrieval-Augmented Generation (RAG) systems.
- Design enterprise AI memory and knowledge architectures.
- Architect agentic and multi-agent AI systems.
- Define identity, authentication, and authorization architectures for AI agents.
- Establish security, safety, and execution guardrails for AI systems.
- Design AI architectures enforcing authorization and trust throughout retrieval and execution.
- Establish end-to-end reliability, evaluation, and observability frameworks for distributed AI systems.
- Partner across organizations to translate requirements into scalable architectures.
- Provide Principal-level technical leadership across Microsoft Security AI platform investments.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, JavaScript, or Python, OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Desired Qualifications
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, JavaScript, or Python, OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, JavaScript, or Python, OR equivalent experience.
- Extensive experience architecting, building, and operating large-scale distributed systems, cloud services, enterprise platforms, or AI platforms in production environments.
- Deep experience with Generative AI and AI systems architecture, including model orchestration, retrieval/RAG, semantic search, memory, context management, tool use, evaluation, safety, and production operationalization.
- Experience designing agentic and multi-agent AI systems.
- Experience establishing reusable engineering patterns, frameworks, and platform capabilities for reliable, secure, observable, and scalable AI and agentic systems.
- Deep experience designing identity, authentication, and authorization architectures for autonomous or agentic systems.
- Expertise in RBAC, policy-based and resource-level authorization, least privilege, scoped permissions, delegated authorization, and multi-tenant isolation.
- Demonstrated ability to provide technical leadership across complex, ambiguous initiatives.
- Demonstrated technical leadership and communication skills, with experience influencing architectural decisions across organizational boundaries.
Benefits
- Eligible for benefits and other compensation.
- Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Skills
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Company
MicrosoftJob Posted
2 days ago
Employment Type
Full Time
Work mode
Hybrid
Salary
US$142,800–274,800 · Negotiable
Experience Level
Senior
Locations
United States
Qualification
Applicants
Be an early applicant
