TC-CS-Cyber Architecture- OT and Engineering-Agentic AI engineer-Senior
Ernst and Young5 months ago
Hyderābād, IndiaSenior
Responsibilities
- Architect, build, and deploy agentic AI workflows and multi-agent systems using orchestration frameworks such as LangChain, LangGraph, and AutoGen.
- Develop RAG pipelines that connect agents to cybersecurity data, logs, enterprise APIs, and real-time knowledge sources.
- Fine-tune, prompt-engineer, configure, and integrate LLMs and SLMs for cybersecurity and automation use cases.
- Build reasoning, planning, self-critique, memory, tool-use, and agent-to-agent coordination capabilities.
- Develop an enterprise-grade platform for LLM orchestration, RAG components, vector databases, multi-agent protocols, and reusable agent toolkits.
- Implement Model Context Protocol-based context sharing, memory management, and agent interoperability.
- Establish pipeline orchestration, lifecycle management, monitoring, tracing, observability, and automation for agentic systems.
- Extract and transform cybersecurity data from SIEM, IAM, SOAR, endpoint telemetry, and security tools for analytics and anomaly detection.
- Partner with cybersecurity specialists, analysts, engineers, IT, and data engineering stakeholders to identify and deliver autonomous decision systems.
- Communicate complex AI concepts to technical and non-technical audiences and advocate for emerging AI technologies.
Requirements
- At least 5 years of experience in software development, AI/ML engineering, or data science.
- At least 1 year of cybersecurity domain exposure, particularly with IAM platforms such as SailPoint or CyberArk and SIEM/SOAR tools such as Splunk or QRadar.
- At least 1 year of hands-on experience building agentic AI or multi-agent applications, LLM-driven workflows, or reasoning systems.
- Strong Python skills and working knowledge of SQL.
- Experience with LLM and 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, Agent Development Kits, LangGraph, AutoGen, or similar orchestration tools.
- Practical experience implementing Model Context Protocol for agent-level context management.
- At least 1 year of experience with LangChain, LlamaIndex, OpenAI, Cohere, Anthropic, or similar frameworks.
- Preferred: 2 or more years developing automation or RPA solutions.
- Preferred: 2 or more years building on AWS, including serverless architectures.
- Preferred: experience with Tableau, Power BI, or Looker for data visualization.
- Preferred: 2 or more years working with APIs, microservices, and modern data engineering tooling.
- Preferred: applied experience with agile software development practices, enterprise-scale agentic AI systems, or autonomous reasoning systems.
- Preferred: contributions to open-source AI/ML or agentic frameworks.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.