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

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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

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