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Strong employer brand, metro location and mid-level experience offset by niche agentic AI cybersecurity specialization.
Role combines specialized ML/AI and cybersecurity domain expertise, limiting cross-industry transferability.
Multiple explicit mandatory cybersecurity, Python, LLM, and integration experience requirements increase shortlisting strictness.
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Design, develop, and deploy AI agents automating complex cybersecurity workflows across IAM, application security, cloud security, GRC, and security operations.
Develop modular AI skills, integrate securely with enterprise tools, and build production-ready automation ensuring accuracy, security, and reliability of AI-driven cyber controls.
Monitor and improve AI agent performance, implement safety guardrails and human-in-the-loop controls, and collaborate with cross-functional teams to embed AI security solutions across enterprise workflows.
Bachelor's degree in Computer Science, Cybersecurity, Engineering, IT, AI, ML, Data Science or related field.
4+ years of technical experience directly related to cybersecurity domains.
3+ years of production-level Python programming experience; experience with Go or JavaScript preferred.
1-2+ years building tools using large language models, AI/ML systems, automation, or agentic AI frameworks.
Experienced in large language model operations, prompt engineering, and building with agentic AI frameworks like LangChain, AutoGen, or Semantic Kernel.
Strong understanding of cybersecurity domains including IAM, application security, cloud security, GRC, compliance, and security operations with practical knowledge of AI-specific security risks.
Ability to design scalable, secure, AI-enabled cybersecurity workflows with expertise integrating AI agents with enterprise systems such as identity providers, CI/CD pipelines, SIEMs, and vulnerability management tools.