Role: AI Security Architect (GenAI + Automation)
Experience - 8-10 Years
Job Description:
Build and maintain Agentic AI-driven security automation solutions integrating SIEM, SOAR, and identity platforms. Work on developing investigation workflows, RAG pipelines, and backend services to improve SOC efficiency and decisioning. Collaborate with stakeholders to evolve the security automation platform.
Skill Set:
- Strong Python backend development (Flask/FastAPI) to build agent orchestration services and APIs
- Experience building Agentic AI workflows using LangChain, LangGraph, or similar orchestration frameworks
- Hands-on with RAG pipelines context retrieval, grounding, prompt engineering, and evaluation
- Understanding of tool calling patterns, agent state management, guardrails, and human-in-the-loop controls
- Experience integrating AI workflows with SIEM, SOAR, identity, and endpoint security platforms
- Ability to build integrations via REST APIs,event pipelines, and automation hooks for agent actions
- Familiarity with vector databases (e.g., ChromaDB/FAISS) and data pipelines supporting AI systems
- Cloud and deployment basics AWS/Azure, Docker, Git, CI/CD
- Knowledge of reliability practices for AI systems observability, tracing (e.g., Langfuse), error handling
- Working understanding of security investigation workflows and automation use cases
