GDS Cyber - Frontier AI - VMDR - Senior Consultant

Ernst & Young Advisory Services Sdn Bhd; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Premium health and wellness packages

Professional development

Diversity and inclusion

Job summary

Ernst & Young in Bengaluru seeks a Senior Cyber AI Engineer within EY's Global Delivery Services (GDS) Cybersecurity Team. The role focuses on converging cybersecurity, vulnerability management, and AI to build intelligent, automated security operations.

You will design AI-enabled vulnerability management programs, mentor teams, and contribute to EY’s AI-driven capabilities across enterprise environments.

Qualifications

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

Responsibilities

• Create AI agents and copilots that assist security analysts in managing the 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 the existing tool stack.
• Lead enterprise-scale Vulnerability Management programs using platforms such as Qualys, Tenable, Tanium.

Skills

AI/ML fundamentals

LLMs

Prompt engineering

Python

PowerShell

Security automation

Cloud security

Vulnerability management

Agentic AI frameworks

Tools

Qualys

Tenable

Tanium

Python

PowerShell

Job description

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 Opportunity

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 the vulnerability management lifecycle.

Key Responsibilities

• Create AI agents and copilots that assist security analysts in managing the 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 the existing tool stack
• Implement AI‑driven exception and exemption management processes for cloud, DB, containers, APIs, infrastructure, web applications, etc.
• Design AI‑assisted vulnerability prioritization models aligned with industry best‑practice 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 designing LLM prompt engineering, platform build, design and implementation
• Deep understanding of Vulnerability Management Lifecycle
• Knowledge of Windows, Linux, UNIX, and other major operating systems
• Deep understanding of TCP/IP network protocols
• Understanding of network security and popular attack vectors
• Familiarity with the latest security vulnerabilities and exploits, understanding of web‑based application vulnerabilities (OWASP Top 10), cloud security and architecture

To Qualify for the Role

Education

Not specified.

Experience

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

Preferred Certifications

None specified.

What We Look For

• Automating vulnerability and risk management processes
• Driving next‑generation cyber transformation initiatives

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

• Our Commitment: We commit to embody our values, fulfil our purpose, and champion inclusiveness.
• Professional Development: Opportunities to build new skills, take on leadership roles, and grow through mentorship.
• People and Culture: Diversity, equity, and inclusiveness are ingrained. We value integrity, respect, teamwork, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
• Benefits: Premium health and wellness packages, rewards, and cutting‑edge learning opportunities to grow professionally and personally.