GDS Cyber-Frontier AI Layered Defense Detection And Response-Manager

EY; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY is seeking a Manager in Agentic AI SOC Transformation based in Mumbai. You will lead enterprise clients in evolving their traditional SOC into an intelligent, AI-driven SOC, spanning strategy, platform engineering, and AI leadership for SIEM, SOAR, and XDR.

Oversee end-to-end programs from assessment to optimization and manage client stakeholders and delivery teams. You will bridge cybersecurity operations with AI innovation, ensuring scalable, practical solutions while guiding

Qualifications

• 8–12 years in Cybersecurity / SOC Engineering / Detection & Response with leadership experience.
• Strong expertise in SIEM, SOAR, and XDR platforms with proven transformation experience.
• Hands-on AI/LLM use cases in cybersecurity and automation across SOC.

Responsibilities

• Lead SOC transformation programs with Agentic AI adoption and ROI focus.
• Define target operating models for AI-enabled SOCs (people, process, technology).
• Conduct maturity assessments and develop transformation roadmaps.
• Engage with CISO/SOC leaders to align on strategy, value, and outcomes.
• Architect agentic AI-driven SOC solutions integrating SIEM, SOAR, XDR, and AI.
• Oversee implementation of AI agents for SOC use cases and integration tasks.

Skills

SIEM

SOAR

XDR platforms

AI/LLM in security

Leadership

Stakeholder mgmt

MITRE ATT&CK

Automation & orchestration

Agentic AI frameworks

Cloud security

Tools

Microsoft Defender

CrowdStrike

Splunk

Job description

Job Description: At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

CDR - Manager – Agentic AI SOC Transformation

Experience: 8–12 Years

Role Overview

As a Manager in Agentic AI SOC Transformation, you will lead enterprise clients in evolving their traditional SOC into an intelligent, AI-driven, agent-enabled security operations model.

This role combines SOC strategy, platform engineering, and applied AI leadership, with a strong focus on designing and operationalizing agentic AI use cases across SIEM, SOAR, and XDR ecosystems. You will oversee end-to-end transformation programs—spanning assessment, architecture, implementation, and optimization—while managing client stakeholders and internal delivery teams.

You will play a critical role in bridging cybersecurity operations and AI innovation, ensuring solutions are practical, scalable, and aligned to real-world SOC challenges.

Key Responsibilities

Client Engagement & Transformation Leadership

• Lead SOC transformation programs with a focus on Agentic AI adoption
• Define target operating models for AI-enabled SOCs (people, process, technology)
• Conduct maturity assessments and develop transformation roadmaps
• Engage with client leadership (CISOs, SOC heads) to align on strategy, value, and outcomes

Solution Architecture & Delivery

• Architect agentic AI-driven SOC solutions integrating SIEM, SOAR, XDR, and AI platforms
• Design and oversee implementation of AI agents for SOC use cases, such as:
• Alert triage and prioritization
• Investigation copilots and enrichment
• Incident summarization and reporting
• Automated response orchestration
• Ensure integration of LLMs, RAG pipelines, and contextual data sources into SOC workflows
• Guide teams on platform deployment, migration, and optimization initiatives

AI-Driven SOC Innovation

• Identify and implement high-impact AI use cases to improve SOC efficiency and detection quality
• Drive adoption of agentic workflows and multi-agent orchestration patterns
• Establish best practices for prompt engineering, context management, and AI governance
• Balance AI automation with analyst decision-making for effective outcomes

Team Leadership & Delivery Management

• Lead cross-functional teams of SOC engineers, detection engineers, and AI specialists
• Provide technical guidance and mentorship on AI-integrated SOC workflows
• Ensure high-quality delivery across projects, including timelines, documentation, and outcomes
• Support capability building and internal knowledge development in Agentic AI security

Stakeholder Communication & Thought Leadership

• Lead client workshops, demos, and executive presentations
• Translate technical concepts into business outcomes and ROI-driven narratives
• Contribute to thought leadership, solution accelerators, and reusable frameworks

Required Skills & Experience

• 8–12 years in Cybersecurity / SOC Engineering / Detection & Response, with leadership experience
• Strong expertise in SIEM, SOAR, and XDR platforms (e.g., Microsoft Sentinel/Defender, CrowdStrike, Splunk)
• Proven experience in SOC transformations, platform implementations, or large-scale deployments
• Hands‑on or applied understanding of AI/LLM use cases in cybersecurity
• Experience integrating automation, APIs, and orchestration workflows in SOC environments
• Strong understanding of threat detection, incident response, and MITRE ATT&CK framework
• Ability to manage client stakeholders and drive strategic conversations

Preferred / Good-to-Have

• Experience with agentic AI frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.)
• Exposure to Azure OpenAI, AI platforms, or cloud-native AI services
• Understanding of RAG architectures, embeddings, and semantic search
• Experience designing AI copilots or automation solutions for SOC operations
• Exposure to DevSecOps, cloud security, or modern security architectures

EY | Building a better working world

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