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Strong employer brand and metro location, but niche agentic AI plus cybersecurity specialization reduces generic competition.
Role requires both ML/AI expertise and cybersecurity domain experience, making cross‑industry transfers limited.
Multiple mandatory technical and domain filters including 6–10 years, security experience, LLM/agent frameworks, cloud, and vector DBs.
Design, develop, and deploy AI-driven cybersecurity solutions leveraging LLMs, Agentic AI frameworks, and machine learning.
Build multi-agent systems for autonomous reasoning, task orchestration, and workflow automation in security contexts.
Integrate AI agents with enterprise security tools to improve threat detection, incident response, risk assessment, and security operations efficiency.
6-10 years overall experience in software engineering, cybersecurity engineering, cloud security, with at least 1 year building Agentic AI solutions.
Bachelor's degree in Computer Science, Information Security, Software Engineering, Artificial Intelligence, Data Science, or related technical discipline.
Proficiency in programming languages like Python, Java, Go and AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI, or equivalents.
Hybrid work model with expectation to work 4 days a week from base office location; standard business hours with flexibility for global support.
Experienced at applying advanced AI concepts like Retrieval-Augmented Generation (RAG), autonomous workflows, and AI agent orchestration to cybersecurity problems.
Strong background in cybersecurity domains including identity security, cloud security, threat detection, vulnerability management, and risk management.
Capable of cross-team collaboration with security architects, cloud security engineers, data scientists, and platform teams to operationalize AI security solutions.