What you'd actually do

Design and develop security protocols to protect AI systems from malicious actors.

Monitor AI systems and networks to detect potential security threats.

Create and implement strategies to protect AI systems from cyber-attacks.

Research emerging technologies in AI security and evaluate their effectiveness.

Work with stakeholders to ensure secure deployment of AI systems.

Skills

Required

security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
auditing existing AI or machine learning systems for security risks and compliance
Development and implementation of AI content filtering mechanisms
Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems
Identification and protection of sensitive data within AI solutions
Design and implementation of strategies to protect AI systems from cyber-attacks
Design and implementation of adversarial test plans
analytical and problem-solving skills
communication skills, both written and verbal
staying current with the latest developments in cybersecurity
work both independently and as part of a team
Sense of urgency and attention to detail

Nice to have

Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity
CISSP, SANS and/or other relevant certifications
designing, developing, and deploying secure AI systems
secure coding standards and best practices for AI-related projects
ethical hacking techniques
develop security protocols and policies
Applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring)
leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows
LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness)
data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation)
AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments
leveraging GenAI for security operations, such as summarizing alerts, drafting reports, or automating incident triage

What the JD emphasized

12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services

4+ years of experience auditing existing AI or machine learning systems for security risks and compliance.

Design and implementation of AI content filtering mechanisms.

Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems.

Identification and protection of sensitive data within AI solutions.

Design and implementation of strategies to protect AI systems from cyber-attacks.

Design and implementation of adversarial test plans.

About the Company:

Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.

About the Job:

As part of the AT&T Governance Enforcement, Assessment and Testing, Third Party Risk, and Emerging Technology Cyber Organization (GATE), you will support the Emerging Technology Team by leading and supervising a team of professionals who design and develop security protocols to safeguard AI systems from malicious actors. Develop tools and processes to analyze and mitigate AI security-related threats and vulnerabilities and implement strategies to defend AI systems against cyber-attacks. Research and evaluate emerging AI security technologies for effectiveness. Audit AI systems for security risks and ensure compliance and consult with stakeholders to ensure the secure deployment of AI systems.

Experience Level: 12+ years.

Location: Hyderabad / Bengaluru

Responsibilities Include:

The expert in this role will lead, support and guide team members in technical and functional matters in providing high-quality and actionable products / deliverables. Leads the team to success. Collaborates with leadership teams, provides subject matter expertise and insights. The Lead Cybersecurity in this role will -

Design and develop security protocols to protect AI systems from malicious actors.
Monitor AI systems and networks to detect potential security threats.
Create and implement strategies to protect AI systems from cyber-attacks.
Research emerging technologies in AI security and evaluate their effectiveness.
Work with stakeholders to ensure secure deployment of AI systems.
Maintain an up-to-date understanding of AI security principles and practices.
Execute plan tests for AI adversarial testing.
Be proactive and demonstrate the ability to analyze issues, generate ideas, and initiate action while achieving results.
Effectively manages multiple tasks / projects with close attention to detail and meets short turnarounds and deadlines.
Collaborate with leadership teams, provide subject matter expertise and insights.
Support and guide team members in providing high-quality and actionable intelligence products / deliverables.
Support, guide and mentor team members in technical and functional matters

The expert in this role will perform analysis of complex security issues and corresponding activities to help mitigate risk. Includes forward looking research, planning and strategy to strengthen our stance against future cyber security threats and attacks, and enhancing our mitigation techniques, processes, and technology solutions.

Required skills:

Overall - At least 12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
4+ years of experience auditing existing AI or machine learning systems for security risks and compliance.
Development and implementation of AI content filtering mechanisms.
Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems.
Identification and protection of sensitive data within AI solutions.
Design and implementation of strategies to protect AI systems from cyber-attacks.
Design and implementation of 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.
Sense of urgency and attention to detail
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
Experience designing, developing, and deploying secure AI systems.
Training in secure coding standards and best practices for AI-related projects.
Knowledge of ethical hacking techniques.
Ability to develop security protocols and policies.
Excellent communication, problem-solving, and analytical skills.
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.

Good to have AI knowledge / experience:

Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring).
Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows.
Understanding of LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus.
Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation).
Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments.
Interest in leveraging GenAI for security operations, such as summarizing alerts, drafting reports, or automating incident triage.

#Cybersecurity

Weekly Hours:

Time Type:

Regular

Location:

IND:AP:Hyderabad / Atria Building, Plot 17 - Adm: Atria Building, Plot No 17

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.