Sr. Associate Cyber Security - Vulnerability Management AI

AT&T AT&T · Telecom · Hyderabad, India +1

This role focuses on developing and operationalizing AI-enabled vulnerability management capabilities within a DevSecOps framework for AT&T India. The Senior Associate will collaborate with US and India Cyber Security teams to build next-generation AI capabilities for threat detection, analysis, mitigation, and response, specifically addressing AI-driven risks and designing strategies against cyber-attacks targeting AI systems.

What you'd actually do

  1. Develop next-generation AI capabilities for detection, analysis, mitigation, and response
  2. Partner directly with Engineering & Operations teams (incident response, security engineering, cloud security, insider threat, etc.) to accelerate delivery
  3. Collaborate with other Cyber teams, Policy & Compliance, and Tech Risk to ensure alignment, scalability, and governance of solutions
  4. Break down complex problems and unblock execution at critical moments
  5. Serve as a technical and strategic sounding board across the organization

Skills

Required

  • 4+ years of experience in performing security engineering in application and infrastructure vulnerability management
  • 3+ years of experience in application and infrastructure penetration testing
  • 1+ years of experience in assessments of complex systems with AI / ML / Data Science capabilities and services
  • Deployment and operation of tools and processes to analyze security threats and vulnerabilities in DevSecOps
  • Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments
  • Ability to perform Incident management
  • Ability to design and implement strategies to AI systems from cyber-attacks
  • Ability to design and implement adversarial test plans
  • Strong analytical and problem-solving skills
  • Excellent communication skills, both written and verbal
  • Commitment to staying current with the latest developments in cybersecurity
  • Ability to work both independently and as part of a team in a fast-paced, dynamic environment
  • Operate with urgency in high-stakes environments
  • Solve complex, ambiguous problems without defined playbooks
  • Engage across organizational boundaries
  • Deliver outcomes—not concepts or prototypes alone
  • Raise the standard for execution across the broader organization

Nice to have

  • Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity
  • Industry certifications such as CISSP, SANS and/or other relevant certifications
  • Understanding of LLM, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness)

What the JD emphasized

  • AI enabled Vulnerability management
  • AI enabled VM capabilities
  • AI / ML / Data Science capabilities and services
  • AI-driven risks
  • AI systems from cyber-attacks
  • adversarial ML
  • data poisoning
  • model hallucination
  • adversarial test plans

Other signals

  • Develop next-generation AI capabilities for detection, analysis, mitigation, and response
  • Deploy and operate tools and processes to analyze security threats and vulnerabilities in DevSecOps
  • Design and implement strategies to AI systems from cyber-attacks
  • Design and implement adversarial test plans