Skillable

AI Security Architect

Skillable

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $170,000 - $210,000 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

  • Define and lead the security architecture strategy for AI/ML systems, including LLMs, GenAI tools, and AI-driven features
  • Partner with engineering and data science teams to secure the AI/ML pipeline (data ingestion, training, deployment, monitoring)
  • Develop threat models for AI systems and implement mitigations against adversarial ML, data poisoning, model theft, and prompt injection
  • Evaluate and advise on secure use of third-party AI tools, APIs, and model integrations
  • Build policies, patterns, and guardrails for responsible and secure AI development in collaboration with GRC and Legal
  • Guide the implementation of privacy-enhancing technologies and ensure regulatory compliance (e.g., GDPR, CPRA, ISO/IEC 42001)
  • Conduct risk assessments on AI use cases and lead the remediation of identified security gaps
  • Design, review, and secure architectures involving Model Context Protocol (MCP), ensuring a deep understanding of its lifecycle and security considerations to enable interoperability across AI systems while maintaining confidentiality, integrity, and availability
  • Architect and secure agentic AI workflows, including autonomous or semi-autonomous multi-agent systems, to ensure safe decision-making, controlled execution of actions, and compliance with organizational policies
  • Mentor engineers and architects on AI security principles and threat modeling
  • Stay current on the evolving AI threat landscape, emerging standards, and attack techniques
  • Contribute to interviewing and selecting new team members as requested
  • Support and promote the company values through positive interactions with both internal and external stakeholders on a regular basis
  • Other strategic business initiatives or special cross-functional project involvement as required.

Requirements

  • Bachelor's degree in computer science, Data Science or relevant professional experience
  • 10+ years of experience in cybersecurity architecture, with 2+ years focused on AI/ML systems or GenAI
  • Deep knowledge of cloud-native security (AWS/GCP/Azure), data protection, identity, and application security
  • Strong understanding of machine learning workflows, MLOps platforms, and model lifecycle management
  • Familiarity with threats unique to AI/ML, including model inversion, data leakage, and hallucinations
  • Experience with security frameworks and standards (e.g., NIST AI RMF, MITRE ATLAS, ISO 27001, ISO/IEC 42001)
  • Proven ability to influence cross-functional teams and drive architectural decisions
  • Hands-on experience designing, securing, or integrating Model Context Protocol (MCP) for AI system interoperability
  • Experience architecting and securing solutions using Azure AI Services
  • Excellent communication and documentation skills
  • Interest and ability in mentoring and/or training other team members as applicable
  • Experience working cross-functionally and promoting collaborative partnerships to drive results
  • Proven ability to communicate effectively to various audiences/levels, both internal and external stakeholders, including leadership
  • Strong Microsoft suite experience, including teams or similar web conferencing and internal communication software experience preferred
  • Experience working in a fully remote team is preferred but not required
  • Thorough understanding (or willingness to learn expeditiously) of business operations and processes
  • Strong written and oral communication skills
  • Proactively addresses challenges, seeking opportunities for continuous improvement
  • Adept at troubleshooting in fast-paced environments and implementing corrective actions swiftly