Posted 10 days ago
No clicks
**Manager – Agentic AI Security Architect (EY)** Design and engineer secure AI systems enhancing enterprise cybersecurity at EY. Key responsibilities include: architecting agent-based AI systems, deploying agentic workflows using LangChain, LangGraph, AutoGen, and MCP, building autonomous AI agents, integrating LLMs with enterprise systems, and leading development of enterprise AI platforms. Apply AI and analytics to cybersecurity data, and establish MLOps, observability, and CI/CD governance. Requires 9+ years in software engineering, AI/ML or data science, 6+ years in building agentic AI or multi-agent systems, strong Python and cloud experience, and proven stakeholder management skills. Join EY to build a better working world.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Service Line Position Title
Consulting Manager, Agentic AI Security Architect
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
About Global Delivery Services (GDS)
Global Delivery Services (GDS) is EYs globally integrated delivery network, supporting Consulting, Assurance, Tax, Strategy & Transactions and Enablement Services across more than 150 countries.
The Opportunity
EY Cybersecurity is seeking a Manager Agentic AI Security Architect to design, build, and operationalize agentic AI and multiagent systems that enhance enterprise cybersecurity capabilities. This role focuses on autonomous decision systems, LLMdriven intelligence, and secure AI architectures.
Your Key Responsibilities
- Architect secure agentbased AI systems including multiagent orchestration and RAG pipelines
- Design and deploy agentic workflows using LangChain, LangGraph, AutoGen and MCP
- Build autonomous reasoning, planning and toolusing AI agents
- Integrate LLMs with enterprise systems via secure APIs
- Lead development of enterprise agentic AI platforms and reusable frameworks
- Establish MLOps, observability, CI/CD and agent lifecycle governance
- Apply AI and analytics to cybersecurity data from SIEM, IAM and SOAR platforms
Skills and Attributes for Success
- 9+ years experience in software engineering, AI/ML or data science
- 6+ years handson experience building agentic AI or multiagent systems
- Strong Python skills and experience with LLM APIs, RAG and vector databases
- Experience with cybersecurity domains such as IAM, SIEM, SOAR
- Cloud experience with GCP, Azure or AWS
- Strong communication and stakeholder management skills
What We Offer You
EY offers futurefocused skills development, global exposure, inclusive culture, and opportunities to work on cuttingedge AI and cybersecurity initiatives.
EY Building a Better Working World
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence while building trust in capital markets and society.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
