18 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Define architecture and long-term technical strategy for enterprise generative AI platform capabilities spanning retrieval, memory, reasoning, agent orchestration, model interaction, execution, evaluation, extensibility, security, and safety.
- Architect production-grade AI and RAG systems covering ingestion, indexing, embeddings, semantic and hybrid retrieval, context construction, grounding, provenance, re-ranking, and evaluation.
- Design enterprise memory and knowledge architectures with appropriate authorization, provenance, freshness, retention, correction, deletion, and compliance controls.
- Architect agentic and multi-agent systems supporting planning, reasoning, tool use, delegation, collaboration, state and memory management, human-in-the-loop workflows, failure recovery, and bounded autonomy.
- Define identity, authentication, authorization, RBAC, delegated authorization, least-privilege, and multi-tenant isolation architectures for AI agents and distributed workflows.
- Establish security, safety, execution guardrails, reliability, evaluation, telemetry, observability, regression detection, failure recovery, and graceful-degradation frameworks.
- Partner with engineering, research, product, security, privacy, and compliance organizations to balance quality, reliability, latency, cost, security, safety, and operational complexity.
- Provide Principal-level technical leadership through architectural convergence, reusable APIs and frameworks, reference architectures, design reviews, foundational investments, cross-organization alignment, and mentoring.
Requirements
- Bachelor’s degree in Computer Science or a related technical field plus 6+ years of technical engineering experience with coding, or equivalent experience.
- Experience coding in languages including C, C++, C#, Java, Go, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Master’s degree plus 8+ years of experience, or bachelor’s degree plus 12+ years of experience, is preferred as an alternative qualification.
- Extensive experience architecting, building, and operating large-scale distributed systems, cloud services, enterprise platforms, or AI platforms in production.
- Deep experience with generative AI systems architecture, model orchestration, retrieval/RAG, semantic search, memory, context management, tool use, evaluation, safety, and production operations.
- Experience designing agentic and multi-agent AI systems involving planning, reasoning, orchestration, delegation, collaboration, state and memory management, tool use, long-running execution, and failure recovery.
- Experience establishing reusable patterns, frameworks, and platform capabilities for reliable, secure, observable, and scalable AI and agentic systems.
- Deep experience designing identity, authentication, authorization, RBAC, policy-based and resource-level authorization, least privilege, delegated authorization, and multi-tenant isolation for autonomous or agentic systems.
- Demonstrated ability to lead complex, ambiguous initiatives, influence architecture across organizational boundaries, mentor senior engineers, establish standards, and communicate technical risks and tradeoffs.
Benefits
- The typical U.S. base pay range is USD $142,800-$274,800 per year, with a different range for specified San Francisco Bay Area and New York City metropolitan locations.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- Microsoft is an equal opportunity employer and provides reasonable accommodation support during the application process.
Tech Stack
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.