Hybrid AI Security Architect

at Zelis

• Job title: AI Security Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $169,000 - $213,750 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Cyber Security
• Location requirements: Hybrid, Morristown, United States

About the role

• AI Security Architect designing and governing security frameworks for AI; partnering with engineering teams to ensure secure development and compliance. Influencing organizational policy and risk posture in cybersecurity.

Responsibilities

• Develop secure-by-design architecture guidelines for AI/ML platforms, including data ingestion, model training, model deployment, and inference layers.
• Define reference security architectures, patterns, and guardrails that enable secure AI development while minimizing manual review and approval friction.
• Partner with respective engineering teams to automate / bake in the security guardrails where possible.
• Design risk-based, proportionate AI security controls that satisfy regulatory and enterprise requirements while enabling rapid AI development and experimentation.
• 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.

Requirements

• 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.)

Benefits

• 401k plan with employer match
• Flexible paid time off
• Holidays
• Parental leaves
• Life and disability insurance
• Health benefits including medical, dental, vision, and prescription drug coverage