Description

 Define reference architectures and technical standards for secure AI/ML adoption (data governance, model lifecycle security, LLM/agentic AI security, network and identity boundaries).Lead security architecture reviews for new AI initiatives, products, and vendor tools, identifying risks and required controls prior to launch.Design enterprise patterns for AI guardrails, output validation, human-in-the-loop controls, and least-privilege access for AI agents and services.Partner with enterprise architecture, data platform, and infrastructure teams to ensure AI security controls are embedded consistently across on-prem, cloud, and SaaS AI deployments.Evaluate emerging AI security threats and technologies, advising leadership on architectural implications and roadmap priorities.Mentor the AI Engineer team on secure design practices; provide technical governance over implementation to ensure alignment with architecture standards.Contribute to AI governance policy, risk frameworks, and control mapping (NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10) from a technical architecture perspective. Skill Requirements Key ResponsibilitiesDefine reference architectures and technical standards for secure AI/ML adoption (data governance, model lifecycle security, LLM/agentic AI security, network and identity boundaries).Lead security architecture reviews for new AI initiatives, products, and vendor tools, identifying risks and required controls prior to launch.Design enterprise patterns for AI guardrails, output validation, human-in-the-loop controls, and least-privilege access for AI agents and services.Partner with enterprise architecture, data platform, and infrastructure teams to ensure AI security controls are embedded consistently across on-prem, cloud, and SaaS AI deployments.Evaluate emerging AI security threats and technologies, advising leadership on architectural implications and roadmap priorities.Mentor the AI Engineer team on secure design practices; provide technical governance over implementation to ensure alignment with architecture standards.Contribute to AI governance policy, risk frameworks, and control mapping (NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10) from a technical architecture perspective

Key Skills

Education

Any Gradute