Sr Associate Cybersecurity - AI Security

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

This role focuses on designing, developing, and implementing security protocols and strategies to protect AI systems from malicious actors and cyber-attacks. It involves analyzing AI security threats, evaluating emerging AI security technologies, auditing AI systems for risks, and ensuring secure deployment. The role also includes executing adversarial tests for AI systems and understanding AI-driven risks.

What you'd actually do

  1. Design and develop security protocols to protect AI systems from malicious actors.
  2. Monitor AI systems and networks to detect potential security threats.
  3. Create and implement strategies to protect AI systems from cyber-attacks.
  4. Research emerging technologies in AI security and evaluate their effectiveness.
  5. Work with stakeholders to ensure secure deployment of AI systems.

Skills

Required

  • Performing 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
  • Strong analytical and problem-solving skills
  • Excellent communication skills, both written and verbal
  • Ability to work both independently and as part of a team
  • Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts
  • Experience leveraging AI-enabled tools to enhance detection, response, and automation workflows
  • Exposure to data science fundamentals relevant to security
  • Awareness of AI-driven risks and their mitigation within enterprise environments

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
  • 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
  • Understanding of LLM safety, prompt engineering, or AI governance frameworks is a plus
  • Interest in leveraging GenAI for security operations

What the JD emphasized

  • 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
  • Design and implementation of adversarial test plans

Other signals

  • AI security protocols
  • AI security threats and vulnerabilities
  • AI security technologies
  • AI systems security risks
  • AI systems secure deployment
  • AI adversarial testing