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Responsibilities
Define the architecture and long-term technical strategy for enterprise AI platform capabilities spanning generative AI, retrieval, memory, reasoning, agent orchestration, model interaction, execution, evaluation, extensibility, security, and safety.
Architect production-grade AI and Retrieval-Augmented Generation (RAG) systems, including data ingestion, indexing, embeddings, semantic and hybrid retrieval, context construction, grounding, provenance, re-ranking, and retrieval evaluation.
Design enterprise AI memory and knowledge architectures that manage conversational context, durable memory, organizational knowledge, and retrieved information while addressing authorization, provenance, freshness, retention, correction, deletion, and compliance requirements.
Architect agentic and multi-agent AI systems that support planning, reasoning, tool use, task decomposition, delegation, collaboration, state and memory management, human-in-the-loop patterns, failure recovery, and bounded autonomous execution.
Define identity, authentication, and authorization architectures for AI agents, including user, workload, service, and agent identities; Role-Based Access Control (RBAC); delegated authorization; least-privilege access; multi-tenant isolation; and secure propagation of identity and authorization context across distributed workflows.
Establish security, safety, and execution guardrails that protect AI systems against prompt injection, malicious or untrusted content, unsafe tool invocation, data exfiltration, privilege escalation, unauthorized delegation, excessive agency, and cross-tenant access.
Design AI architectures that enforce authorization and trust throughout retrieval and execution, ensuring agents access only permitted data and that AI-generated plans, decisions, and tool calls are independently validated against applicable security, authorization, safety, and compliance policies.
Establish end-to-end reliability, evaluation, and observability frameworks for distributed AI systems, covering retrieval and model quality, grounding, agent behavior, authorization decisions, tool execution, task completion, safety, telemetry, regression detection, failure recovery, and graceful degradation.
Partner across engineering, research, product, security, privacy, and compliance organizations to translate evolving AI capabilities, risks, and enterprise requirements into scalable architectures and balance quality with reliability, latency, cost, security, safety, and operational complexity.
Provide Principal-level technical leadership across Microsoft Security AI platform investments, driving architectural convergence, reusable APIs and frameworks, reference architectures, technical design reviews, foundational investments, and alignment across organizations while mentoring senior engineers and technical leaders.
Qualifications
Required Qualifications
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
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred 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, including planning, reasoning, orchestration, delegation, collaboration, state and memory management, tool use, long-running execution, and failure recovery.
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, including user, application, workload, service, and agent identities.
Expertise in RBAC, policy-based and resource-level authorization, least privilege, scoped permissions, delegated authorization, and multi-tenant isolation, including securing delegation chains and preventing privilege escalation or unauthorized cross-tenant access.
Demonstrated ability to provide technical leadership across complex, ambiguous initiatives, translating business, product, and security requirements into durable architectures, technical standards, and long-term engineering strategies across multiple teams or organizations.
Demonstrated technical leadership and communication skills, with experience influencing architectural decisions across organizational boundaries, mentoring senior engineers, establishing engineering standards, and communicating complex technical decisions, risks, and tradeoffs to engineering and leadership audiences.
#MSFTSecurity #SCEM #Perception #AI #Fleetofagents
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
