
GDS Cyber - Frontier AI - VMDR - Senior Consultant
Ernst and Young1 day ago
Noida, IndiaSenior
Responsibilities
- Create AI agents and copilots to support security analysts across the vulnerability management lifecycle.
- Design and deploy Retrieval-Augmented Generation solutions for cybersecurity.
- Build predictive models to identify high-risk assets and likely exploitation paths.
- Develop intelligent remediation orchestration, exception management, prioritization models, and AI-powered automation workflows.
- Lead enterprise-scale vulnerability management programs using Qualys, Tenable, Tanium, and related tools.
- Develop generative AI use cases for reporting, analysis, and dashboarding.
- Deliver client engagements, contribute to proposals and thought leadership, and research emerging threats and cyber defense technologies.
- Mentor junior engineers and facilitate workshops with client stakeholders.
Requirements
- Bachelor's-level or higher education through BE, BTech, MTech, MSc, or MCA.
- 5–8+ years of cybersecurity experience.
- At least 2 years working with AI/ML or security automation initiatives.
- Experience leading enterprise vulnerability management programs.
- Knowledge of machine learning fundamentals, generative AI, LLMs, AI security, prompt engineering, vector databases, embedding models, and agentic AI frameworks.
- Scripting or programming experience with Python and PowerShell.
- Experience with AWS, Azure, and GCP security.
- Strong understanding of the vulnerability management lifecycle, Windows, Linux, UNIX, TCP/IP, network security, common attack vectors, OWASP Top 10, cloud security, and architecture.
- Preferred certifications include CEH, CISSP, CISM, OSCP, GIAC, Azure AI, OpenAI, AWS ML, or Azure ML certifications.
Benefits
- Flexible work environment with globally connected teams.
- Professional development, continuous learning, mentorship, and opportunities to take on leadership roles.
- Inclusive culture focused on diversity, equity, belonging, and collaboration.
- Health and wellness packages, rewards, and learning opportunities.