TC-CS-Cyber Architecture- OT and Engineering- Agentic AI security engineer-Senior

Sr. Agentic AI Engineer

Job Description

Cybersecurity is seeking a Sr. Agentic AI Engineer to join the Cyber Analytics and Data Science team. This role focuses on designing building and operationalizing agentic AI systems multi-agent frameworks and intelligent automation solutions that enhance our cybersecurity posture. The ideal candidate 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.

You will be directly responsible for the architecture development deployment and automation of agentic AI applications that support predictive prescriptive and autonomous cybersecurity operations. This role partners closely with key stakeholders across Cybersecurity IT and Data Engineering to accelerate the adoption of multi-agent systems RAG-enhanced intelligence and enterprise AI platforms.

The Sr. Agentic AI Engineer is a hands-on technologist creative problem solver and trusted advisor who brings deep experience with emerging AI technologies and a passion for building scalable production-grade autonomous systems.

Responsibilities

• Agentic AI & Multi-Agent System Development
  • 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.
  • Implement agent-to-agent coordination strategies including shared memory messaging goal decomposition and tool-use patterns.
  • Design and optimize Agent Development Kit (ADK)based pipelines for secure scalable agent deployment.
• RAG Systems & Knowledge Integration
  • Develop Retrieval-Augmented Generation (RAG) pipelines enabling agents to interact with real-time knowledge sources logs cybersecurity datasets and enterprise APIs.
  • Optimize vector embeddings indexing strategies and memory structures for high-accuracy decision support.
  • Ensure grounded auditable and explainable outputs from LLM-based agents.
• LLM Engineering & Advanced Reasoning
  • Fine-tune prompt-engineer and configure LLMs/SLMs for specialized cybersecurity and automation tasks.
  • Build reasoning planning and self-critique modules for agents to operate autonomously and safely.
  • Integrate external LLM APIs embeddings synthetic data and custom model endpoints.
• Enterprise Agentic AI Platform
  • Lead the development of an enterprise-grade platform enabling orchestration of LLMs RAG components vector databases and multi-agent protocols.
  • Standardize the use of Model Context Protocol (MCP) for consistent context-sharing memory management and interoperability across agents.
  • Build reusable agent templates toolkits and internal libraries to accelerate development across Cyber teams.
• MLOps Observability & Automation
  • Implement CI/CD pipeline orchestration versioning and agent lifecycle management.
  • Establish monitoring tracing and observability practices for autonomous system behavior.
  • Automate manual cybersecurity processes through AI-driven workflow orchestration and dynamic agents.
• Data Engineering & Cyber Analytics
  • Extract transform and aggregate data from disparate cybersecurity sources such as SIEM IAM SOAR endpoint telemetry and API-driven security tools.
  • Apply ML and statistical modeling techniques for anomaly detection classification optimization and pattern recognition.
  • Translate complex findings into intuitive visualizations and actionable insights for leadership.
• Cross-Functional Collaboration
  • Work with cybersecurity SMEs analysts and engineers to identify opportunities for autonomous decision systems.
  • Communicate complex AI concepts clearly to technical and non-technical audiences.
  • Drive innovation and advocate for emerging AI technologies across the organization.

Qualifications

Required Skills

• 5 years total experience in software development AI/ML engineering or data science.
• 1 year of Cybersecurity domain exposure especially IAM (SailPoint CyberArk) and SIEM/SOAR (Splunk QRadar etc.).
• 1 year of hands-on experience building agentic AI or multi-agent applications including LLM-driven workflows or reasoning systems.
• Strong Python skills and working knowledge of SQL.
• Direct experience with LLM/SLM APIs embeddings vector databases RAG architecture and memory systems.
• Experience deploying AI workloads on GCP (Vertex AI) and IBM WatsonX.
• Familiarity with agentic AI protocols ADKs LangGraph AutoGen or similar orchestration tools.
• Practical experience implementing Model Context Protocol (MCP) for agent-level context management.
• 1 year experience with LangChain LlamaIndex OpenAI Cohere Anthropic or similar frameworks.

Preferred

• 2 years developing automation or RPA solutions.
• 2 years building on AWS including serverless architectures.
• Demonstrated experience with data visualization platforms (Tableau Power BI Looker).
• 2 years working with APIs microservices and modern data engineering tooling.
• Applied experience with agile software development practices.
• Prior work deploying enterprise-scale agentic AI or autonomous reasoning systems.
• Contributions to open-source AI/ML or agentic frameworks.