TC-CS-Cyber Architecture- OT & Engineering-Agentic AI engineer-Senior
Ernst & Young (EY) (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, deploy, and automate agentic AI and multi-agent systems to enhance autonomous cybersecurity operations.
- Lead enterprise-grade AI platform development integrating LLMs, RAG pipelines, vector databases, and multi-agent orchestration using protocols like MCP.
- Collaborate cross-functionally to implement AI-driven automation and advanced reasoning for predictive and prescriptive cyber-analytics.
Minimum Requirements
- Minimum 5 years in software development, AI/ML engineering, or data science.
- At least 1 year of cybersecurity experience, especially IAM (e.g., SailPoint, CyberArk) and SIEM/SOAR (e.g., Splunk, QRadar).
- Minimum 1 year hands-on experience building agentic AI or multi-agent applications with LLM workflows or reasoning systems.
- Strong Python skills, knowledge of SQL, direct experience with LLM/SLM APIs, embeddings, vector DBs, RAG architecture, and deployment on GCP (Vertex AI) and IBM WatsonX.
Ideal Candidate Profile
- Experienced in designing and operationalizing production-grade autonomous AI systems within cybersecurity contexts.
- Proficient with agentic AI frameworks and orchestration tools like LangChain, LangGraph, AutoGen, and implementing Model Context Protocol (MCP).
- Skilled in integrating advanced AI components (LLMs, RAG, vector search) and managing AI lifecycle including MLOps and observability in enterprise environments.