AI Cyber Architect

Job Description:

Responsibilities

• Develop secure-by-design architectures for AI/ML platforms, including data ingestion, model training, model deployment, and inference layers.
• Define reference security architectures, patterns, and guardrails for secure AI development.
• Identify threats unique to AI systems—model inversion, poisoning, evasion attacks, data leakage, prompt injection, etc. Evaluate emerging AI security threats, tools, and best practices.
• Lead AI-specific risk assessments and security design reviews.
• Work with red teams to validate model robustness against adversarial attacks.
• Establish security policies for ethical AI use. Ensure compliance with enterprise, industry, and regulatory frameworks (e.g., NIST AI RMF, GDPR, HIPAA, SOC2, ISO 42001).
• Partner with data science, platform engineering, cloud security, product, and compliance teams.

Qualification & Experience     

• 10+ years in cybersecurity architecture or engineering roles.
• Strong knowledge of modern AI/ML architectures, pipelines, and tooling. Experience with LLM security, prompt safety testing, or generative AI governance.
• Understanding of AI based attacks and threats.
• Strong knowledge of data protection and controls required to protect data.
• Knowledge of creating and communicating cybersecurity risks both in technical and non-technical manner.
• Experience working in AI/ML or data engineering environments.
• Proven track record designing enterprise security frameworks or architecture patterns.
• Excellent communication with technical and non-technical stakeholders.
• Strong analytical, problem-solving, and decision-making abilities.
• Leadership skills to guide engineering teams and influence organizational policy.
• Knowledge of regulatory frameworks specific to healthcare or finance (HIPAA, PCI, etc.)