Senior Associate, Cybersecurity – AI Security

AT&T

Support the Emerging Technology Team at AT&T by overseeing security for AI systems. Lead development of security protocols and mitigation strategies against cyber-attacks for AI.

Posted 5/12/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

At least 4+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
3+ 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.
Flexible to provide coverage in US morning hours on a need-basis, and as required.
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.

Benefits

Comp & perks

Health insurance
Flexible working arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

security engineeringAI security protocolsAI content filtering mechanismsadversarial test plansanomaly detectionthreat huntingbehavioral analyticsrisk scoringdata science fundamentalsmodel validation

Soft Skills

analytical skillsproblem-solving skillscommunication skillsteamworkindependenceadaptabilitycommitment to professional developmentability to convey complex information