Sr. Staff AI Security Architect

About

The Sr. Staff AI Security Architect will lead enterprise AI security strategy, architecture, and governance initiatives to enable the secure adoption of Generative AI, agentic AI, and machine learning technologies across the organization.

Responsibilities

• Define and maintain enterprise AI security architecture and roadmap
• Lead AI threat modeling, abuse-case analysis, and AI risk assessments
• Architect secure AI/LLM platforms, RAG frameworks, and AI agent controls
• Establish AI security standards, policies, and governance frameworks
• Partner with Security, Data, Product, Risk, Compliance, and Engineering teams
• Implement AI-SDLC and LLMOps security controls across CI/CD pipelines
• Guide AI red-teaming, adversarial testing, and monitoring initiatives
• Advise leadership on AI security posture, regulatory risk, and mitigation strategies
• Conduct vendor and third-party AI security reviews
• Mentor architects and engineering teams on AI security best practices

Requirements

Must-Haves:

• 10 years of security architecture experience in enterprise environments
• 5 years designing security architectures within regulated industries
• Expertise in cloud security, Zero Trust, IAM, API security, and authentication
• Strong understanding of AI/ML systems, LLMs, agents, orchestration layers, and RAG architectures
• Experience with DevSecOps, MLOps, Kubernetes/container security, and CI/CD security controls
• Knowledge of cryptography, KMS/HSM, and secrets management
• Background in application security, threat modeling, and OWASP methodologies
• Familiarity with AI risk frameworks such as NIST AI RMF and OWASP Top 10 for LLMs
• Proven ability to influence cross-functional stakeholders and executive leadership
• Experience integrating security telemetry, monitoring, and SIEM workflows

Nice-to-Haves:

• CISSP-ISSAP, GIAC, or related advanced security certifications
• Hands-on experience with Generative AI security and AI guardrail implementations
• Experience with MITRE ATLAS, adversarial testing, and AI red/purple teaming
• LLMOps governance experience including model registry controls and artifact signing
• Infrastructure-as-code and policy-as-code expertise
• AI governance and risk management program experience
• Experience with data protection technologies including DLP, masking, and tokenization
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

Benefits

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility