Research AI Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

199000.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, Large Language Models, Embeddings, Vector Databases, Retrieval-Augmented Generation, Identity Concepts, Security Concepts, Prompt Engineering, Tool-Augmented Reasoning, Multi-Agent Frameworks, Azure AI Foundry, OpenAI APIs, Semantic Kernel, AI Safety, Governance

Industry

Software Development

Description

- Design and build GenAI-powered Security Agents that enable enterprise customers to understand, investigate, and mitigate identity risks across Entra ID — including Identity Protection, Conditional Access, and related products. - Reimagine and modernize traditional security workflows (e.g., detection development, validation, triage, and investigation) through intelligent automation, multi-agent orchestration, and reasoning-driven LLM systems. - Prototype, evaluate, and deploy advanced agentic capabilities — such as retrieval-augmented generation (RAG), multi-agent framework, MCP servers, context engineering, and long-term agent memory — to support next-generation GenAI security agents. - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. - 2+ years of hands-on experience building and deploying production-grade AI systems using Python, PyTorch, or TensorFlow. - Proficiency in large language models (LLMs), embeddings, vector databases, and retrieval-augmented generation (RAG) architectures. - Understanding of identity and security concepts, including authentication, access control, detection signals, and risk-based decisioning. - Experience with prompt engineering, tool-augmented reasoning, and multi-agent frameworks for autonomous or task-oriented AI workflows. - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. - Experience with Azure AI Foundry, OpenAI APIs, or Semantic Kernel for enterprise-scale AI development. - Knowledge of MCP (Model Context Protocol) or other interoperable agent architectures for secure model orchestration. - Understanding of AI safety, governance, and content moderation principles in security or enterprise environments. MSFTSecurity, #IdentityJobs Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation.

Responsibilities

Design and build GenAI-powered Security Agents for enterprise customers to manage identity risks. Modernize security workflows through intelligent automation and advanced agentic capabilities.