Principal AI Software Engineer

We are looking for a Principal Software Engineer at the intersection of AI/ML and security. You will drive the architecture and delivery of autonomous agentic experiences that investigate, triage, remediate, and harden customer environments using LLMs, knowledge graphs, and the Security Graph (MSG).

This is a high-impact IC role reporting to the Exposure Management engineering leadership. You will influence strategy, mentor senior engineers, and ship production systems used by the largest enterprises in the world.

Responsibilities

Architect & Build Agentic Security Experiences
Design and implement Blue (investigate/triage), Green (remediate/harden), and Red (attack simulation) agents operating across customer environments.
Define agent architecture: planning, tool use (MCP skills), memory, context retrieval, and human-in-the-loop controls.
Build orchestration over the Security Graph, correlating exposure signals across cloud, device, identity, data, and AI.

Drive AI-Native Platfor

דרישות:

Must Have
8+ years of software engineering experience, with 3+ years applying ML/AI to production systems.
Deep expertise in LLM application development, including prompt engineering, RAG, and agent frameworks such as AutoGen, Semantic Kernel, LangChain, or similar.
Strong systems design skills, including distributed cloud systems, streaming pipelines, graph databases, and API design at scale.
Experience building security products or working with security data such as vulnerabilities, misconfigurations, identity, and cloud posture.
Track record of driving ambiguous, cross-team technical initiatives from concept to production.

Preferred
Proficiency in Python and at least one systems language such as C, Go, Rust, or Java.
Experience with our Security stack including Defender, Sentinel, Entra, Purview, Intune, and MSEM.
Familiarity with MCP (Model Context Protocol) and tool-use patterns for LLM agents.
Background in security operations, red teaming, or exposure management.
Experience wi