Skillable is looking to modernize the world of training and needs an AI Security Architect to lead the design, governance, and implementation of security strategies for AI and machine learning systems across the organization.
Requirements
- 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).
- Hands-on experience designing, securing, or integrating Model Context Protocol (MCP) for AI system interoperability.
- Experience architecting and securing solutions using Azure AI Services
- Strong Microsoft suite experience, including teams or similar web conferencing and internal communication software experience preferred.
Responsibilities
- 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.
Other
- 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.
- Proven ability to influence cross-functional teams and drive architectural decisions in complex environments.
- Excellent communication and documentation skills.
- Ability to present and convey material both formally and informally to all levels of an organization.
