Job Title: Senior Cyber AI Engineer - Technology Consulting

Role Overview

As a Senior Cyber AI Engineer within EY's Global Delivery Services (GDS) Cybersecurity Team, you will drive the convergence of Cybersecurity, Vulnerability Management, and Artificial Intelligence to build intelligent, scalable, and automated security operations.

You will design, implement, and enhance AI-enabled vulnerability management programs that leverage machine learning, generative AI, intelligent analytics, and automation to improve risk identification, prioritization, remediation, and executive decision-making across enterprise environments.

In addition to delivering client engagements, you will help shape EY's AI-driven Cybersecurity capabilities, contribute to thought leadership, and mentor teams on applying AI responsibly and securely within cyber operations.

The Prospect

As organizations rapidly adopt AI and cloud-native technologies, cybersecurity teams must evolve beyond traditional vulnerability management approaches. You will help clients transform their security operations by applying AI and data-driven techniques to vulnerability management lifecycle

Key Responsibilities

AI-Driven Vulnerability Management

- Create AI agents and copilots that assist security analysts in managing vulnerability lifecycle
- Design and deploy Retrieval-Augmented Generation (RAG) solutions for cybersecurity
- Build predictive models to identify high-risk assets and likely exploitation paths.
- Build intelligent remediation orchestration capabilities integrating existing tool stack
- Implement AI-driven exception and exemption management processes for cloud, DB, containers, API s, infrastructure, web applications etc.
- Design AI-assisted vulnerability prioritization models aligned with industry best practices techniques.
- Develop AI-powered automation workflows




- Develop Generative AI use cases for reporting, analysis and dashboarding
- Lead enterprise-scale Vulnerability Management programs using platforms such as Qualys, Tenable, Tanium etc.
- Mentor junior engineers in cyber analytics, AI technologies, and security engineering practices and facilitate workshops and discussions with client stakeholders.
- Research emerging threats, AI advancements, and next-generation cyber defense
- Contribute to solution development, proposals, and thought leadership.

Skills and Attributes for Success

- Experience with Machine Learning fundamentals, Generative AI and LLMs, AI Security, Prompt Engineering, Vector Databases, Embedding Models, Agentic AI Frameworks
- Experience with scripting / programming skills (e.g., Python, PowerShell)
- Experience with AWS, Azure and GCP Security
- Hands-on experience in design LLM prompt engineering, platform build, design and implementation
- Deep understanding of Vulnerability Management Lifecycle
- Knowledge of Windows, Linux, UNIX, any other major operating systems.
- Deep understanding of TCP/IP network protocols.
- Understanding of network security and popular attacks vectors.
- Familiarized with the latest security vulnerabilities and exploit, understanding of web-based application vulnerabilities (OWASP Top 10), cloud security and architecture

To Qualify for the Role

Education

- BE / BTech / MTech / MSc / MCA

Experience

- 5 8+ years in Cybersecurity
- 2+ years working with AI/ML or Security Automation initiatives
- Experience leading enterprise Vulnerability Management programs

Preferred Certifications

CEH, CISSP, CISM, OSCP, GIAC, Azure AI, Open AI, AWS ML, Azure ML certifications

Disclaimer : This job posting has been aggregated from external source. Role detailscontentand availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GDS Cyber - Frontier AI - VMDR - Senior Consultant (Bengaluru)
🏢 EY
📍 Bengaluru