AI Security Architect

Zelis•Morristown, TN

8h•$169,000 - $213,750•Hybrid

About The Position

Enterprise-level expert responsible for defining and guiding the strategic direction of security architecture and risk posture. AI Security Architect – Job Description Overview The AI Security Architect is responsible for designing, implementing, and governing security frameworks and requirements to enable the secure use of AI and related infrastructure. This role ensures AI technologies are developed and deployed securely, ethically, and in compliance with regulatory and organizational requirements. This role will be part of cybersecurity organization with a matrix line to the AI team.

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.)

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.

Benefits

Zelis’ full-time associates are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees’ health, well-being, and financial protection.
The US-based benefits include a 401k plan with employer match, flexible paid time off, holidays, parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage.

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