Zelis

AI Security Architect

Zelis

full-time

Posted on:

Location Type: Hybrid

Location: MorristownFloridaNew JerseyUnited States

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Salary

💰 $169,000 - $213,750 per year

Job Level

About the role

  • 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
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Applicant Tracking System Keywords

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Hard Skills & Tools
cybersecurity architectureAI/ML architecturesdata protectionenterprise security frameworksLLM securityprompt safety testinggenerative AI governancerisk assessmentssecurity design reviewsadversarial attacks
Soft Skills
communicationanalytical skillsproblem-solvingdecision-makingleadershipinfluencing policycollaborationstakeholder engagementtechnical communicationnon-technical communication