Sr. Specialist Cyber Security – Vulnerability Management AI

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office or Remote
Senior level
Internet of Things • Mobile • Retail
The Role
Develops and operationalizes AI-enabled vulnerability management capabilities across application and infrastructure security within a DevSecOps framework. Responsibilities include security engineering, penetration testing, AI system assessments, threat and vulnerability analysis, incident management, adversarial testing, and mitigation of AI-driven risks. The role partners with engineering, operations, cloud security, incident response, compliance, and risk teams to deliver production-ready cybersecurity solutions and provide strategic technical guidance.
Summary Generated by Built In

About the Job:

The Senior Specialist Cyber Security is responsible for supporting the AI enabled Vulnerability management from AT&T India. The team member collaborates with US and India Cyber Security teams to develop, implement and operationalize AI enabled VM capabilities in Application Security and Infrastructure Security in a DevSecOps framework.


Roles & Responsibilities include:

  • 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

Experience Level: 8+ years.

Location: Hyderabad / Bengaluru

Primary / Mandatory Skills:


  • Overall - at least 8+ years of experience in performing security engineering in application and infrastructure vulnerability management.
  • 6+ years of experience in application and infrastructure penetration testing.
  • 2+ 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.
  • Experience in performing 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.

Desirable skills:

  • 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.

Additional information (if any): Flexible to provide coverage in US morning hours on a need-basis, and as required.

Weekly Hours:

40

Time Type:

Regular

Location:

IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City, IND:KA:Bangalore / Intl Tech Park, Navigator Bldg, Whitefield Road: Intl Tech Park, Navigator Bldg:Intl Tech Park, Navigator Bldg

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

Skills Required

  • At least 8 years of experience performing security engineering in application and infrastructure vulnerability management
  • At least 6 years of experience in application and infrastructure penetration testing
  • At least 2 years of experience assessing complex systems with AI, machine learning, or data science capabilities and services
  • Experience deploying and operating tools and processes to analyze security threats and vulnerabilities in DevSecOps
  • Awareness of AI-driven risks, including adversarial machine learning, data poisoning, and model hallucination, and their mitigation
  • Experience performing incident management
  • Ability to design and implement strategies to protect AI systems from cyberattacks
  • Ability to design and implement adversarial test plans
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Commitment to ongoing cybersecurity training and professional development
  • Ability to work independently and collaboratively in a fast-paced environment
  • Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity
  • Industry certifications such as CISSP, SANS, or other relevant certifications
  • Understanding of LLMs, prompt engineering, or AI governance frameworks such as NIST AI RMF or EU AI Act readiness
  • Flexibility to provide coverage during US morning hours as needed

AT&T Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AT&T and has not been reviewed or approved by AT&T.

  • Healthcare Strength — Health coverage spans medical, dental, vision, and mental health services, plus a personal healthcare team, wellness apps, and supplemental options such as fertility care, cancer support, doula services, and wigs for chemotherapy. These comprehensive offerings are portrayed as supporting a wide range of employee needs.
  • Leave & Time Off Breadth — Paid time off includes vacation, holidays, sick days, caregiver time, parental leave, and adoption assistance, with some roles reaching about 23 days of PTO after several years. Community volunteer days and flexible time off options add further support for work-life balance.
  • Wellbeing & Lifestyle Benefits — Employees receive sizable service discounts like 50% off most wireless plans and broadband, along with savings on travel, event tickets, and insurance. Additional workplace perks such as hybrid work models and relocation assistance contribute to overall value.

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