Assoc Director-cybersecurity - AI Security Engineering

AT&T AT&T · Telecom · Bangalore, KA, India

Associate Director for Cybersecurity focusing on AI Security Engineering. This role involves leading a team to design, implement, and audit security protocols for AI systems, analyze threats, develop mitigation strategies, and ensure compliance with security standards. It requires extensive experience in cybersecurity, AI/ML security, and team leadership, with a focus on protecting AI systems from malicious actors and cyber-attacks within an enterprise context.

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. Develop tools and processes to analyze security threats and vulnerabilities.
  4. Create and implement strategies to protect AI systems from cyber-attacks.
  5. Research emerging technologies in AI security and evaluate their effectiveness.

Skills

Required

  • Security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
  • Leading and managing diverse technical teams
  • Third-party risk management or risk consulting
  • Implementing security protocols to safeguard AI systems
  • Cyber Security frameworks, methodologies, and industry best practices
  • Assessing and articulating risks from a business standpoint
  • Project management skills
  • Team-oriented thinking
  • SANS, ISC2, ISACA, or other relevant certifications
  • Bachelor’s degree in computer science, mathematics, information systems, engineering, commerce or cybersecurity

Nice to have

  • Master’s degree in computer science, mathematics, information systems, engineering, cybersecurity
  • 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
  • Understanding of 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)
  • 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

What the JD emphasized

  • 15+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services.
  • 10+ years leading and managing diverse technical teams
  • 5+ years minimum experience in third-party risk management or risk consulting.
  • Cybersecurity expert with hands on experience implementing security protocols to safeguard AI systems.

Other signals

  • AI security engineering
  • design and implement security protocols to safeguard AI systems
  • analyze and mitigate AI security-related threats and vulnerabilities
  • defend AI systems against cyber-attacks
  • audit AI systems for security risks and ensure compliance
  • secure deployment of AI systems
  • AI adversarial testing
  • AI content and responsible AI filtering mechanisms