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Senior Associate Cyber Security Vulnerability Management AI
AT&T
Hyderabad•On-site•Salary•4-7 Yrs•Jul 7
Job description
Overview
Join AT&T and reimagine the communications and technologies that connect the world.
Responsibilities
- Develop next‑generation AI capabilities for detection, analysis, mitigation, and response
- Partner directly with Engineering & Operations teams (incident response, security engineering, cloud security, insider threat, etc.) to accelerate delivery
- Collaborate with other Cyber teams, Policy & Compliance, and Tech Risk to ensure alignment, scalability, and governance of solutions
- Break down complex problems and unblock execution at critical moments
- Serve as a technical and strategic sounding board across the organization
- Bridge innovation and operationalization to ensure capabilities are production‑ready and adopted at scale
Qualifications
- Overall - at least 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, with the ability to convey complex information in a clear and concise manner.
- A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development.
- 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.
- Flexible to provide coverage in US morning hours on a need‑basis, and as required.
- 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) is a plus.
- Ability to work independently and as part of a team.