Skillable

Security Engineer

• 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.

AI Security Architect