Support building agents in Databricks, Co-Pilot or other LLM tools
Develop MCP servers to connect to core cyber and data infrastructure
Act as a primary interface between security teams and AI capabilities
Help improve AI frameworks with increased observability, updated governance policies, etc
Design, build, and maintain a library of MCP-compliant tools and servers that integrate across the security stack — SIEM, EDR/XDR, SOAR, threat intelligence platforms, and ticketing systems
Build intuitive AI-powered interfaces, copilots, and chat assistants for security users
Maintain a centralized, version-controlled knowledge base covering all MCP tools, agent configurations, and workflow logic
Collaborate with other cybersecurity, infrastructure, and data teams
Continuously evaluate and improve AI methodologies and tools
Pursue continuous professional development on emerging tools and technologies.

2+ years working in cybersecurity engineering or DevSecOps role
1+ year working with LLMs, and AI application development (prompt engineering, RAG, etc)
Experience with MCP and orchestration frameworks (LangChain / LangGraph) for LLM agents
Proficiency in python, REST APIs (OpenAI API etc)
Familiarity with security platforms such as Microsoft Defender, Google SecOps, CrowdStrike or similar
Familiarity with cloud environments such as Azure or AWS
Enhanced Security Clearance is mandatory for all personnel assigned to these roles.

Senior Associate – Cyber AI and Data Engineering

Key skills