About The Position

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world. We are seeking a Senior Technical Threat Analyst with expertise in nation-state cyber threat analysis, hands-on experience using graph-based hunting environments (e.g., Vertex Synapse, neo4j, or similar) and expertise in using these concepts in conjunction with Agentic AI. This role bridges traditional intelligence analysis and applied agentic AI, leveraging cutting-edge models to accelerate discovery, contextualization, and attribution of advanced persistent threat (APT) activity. The ideal candidate is equally comfortable navigating graph relationships in large-scale data systems and experimenting with AI frameworks to generate, validate, and refine hypotheses about adversary behavior. You’ll blend human analytic tradecraft with graph solutions and emerging AI capabilities to uncover new patterns, accelerate investigations, and enhance how intelligence teams understand and communicate adversary intent.

Requirements

  • Expertise in nation-state cyber threat analysis.
  • Hands-on experience with graph-based hunting environments.
  • Familiarity with Agentic AI concepts.
  • Ability to navigate large-scale data systems.
  • Experience in intelligence analysis and threat attribution.

Responsibilities

  • Conduct nation-state cyber threat analysis.
  • Utilize graph-based hunting environments such as Vertex Synapse or neo4j.
  • Leverage Agentic AI concepts in threat analysis.
  • Bridge traditional intelligence analysis with applied agentic AI.
  • Accelerate discovery, contextualization, and attribution of APT activity.
  • Navigate graph relationships in large-scale data systems.
  • Experiment with AI frameworks to generate and validate hypotheses about adversary behavior.
  • Blend human analytic tradecraft with graph solutions and AI capabilities.
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