Sr. Agentic AI Engineer

About the job

As a Sr. Agentic AI Engineer at EY Cybersecurity, your role involves designing, building, and operationalizing agentic AI systems, multi-agent frameworks, and intelligent automation solutions to enhance the cybersecurity posture. You will leverage advanced machine learning, LLM engineering, reasoning systems, and data engineering to solve enterprise-scale problems and drive the next generation of autonomous cyber-analytics capabilities. Key Responsibilities: - Architect, design, and deploy agentic AI workflows using frameworks such as LangChain, LangGraph, AutoGen, and related orchestration libraries. - Build multi-agent systems capable of autonomous reasoning, planning, task delegation, and collaboration across cybersecurity functions. - Develop Retrieval-Augmented Generation (RAG) pipelines enabling agents to interact with real-time knowledge sources, logs, cybersecurity datasets, and enterprise APIs. - Fine-tune, prompt-engineer, and configure LLMs/SLMs for specialized cybersecurity and automation tasks. - Lead the development of an enterprise-grade platform enabling orchestration of LLMs, RAG components, vector databases, and multi-agent protocols. - Implement CI/CD, pipeline orchestration, versioning, and agent lifecycle management. - Extract, transform, and aggregate data from disparate cybersecurity sources and apply ML and statistical modeling techniques for anomaly detection, classification, optimization, and pattern recognition. - Work with cybersecurity SMEs, analysts, and engineers to identify opportunities for autonomous decision systems.

Requirements

• Agentic AI systems
• Multi-agent frameworks
• Advanced machine learning
• Cybersecurity
• Python

Preferred Technologies

• Agentic AI systems
• Multi-agent frameworks
• Advanced machine learning
• Cybersecurity
• Python