Security Awareness Lead

What You ll Do

• Own and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices.
• Assist in defining secure-by-design patterns and standards for AI/ML systems.
• Establish and maintain AI-specific security artifacts.
• Ensure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives.
• Establish architectural governance and enforce adherence to AI security standards across product teams and platforms.
• Influence AI design decisions early in the lifecycle to reduce downstream risk and rework.
• Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations.
• Evaluate AI frameworks, agents, vector databases, and third-party AI platforms for security posture and enterprise readiness.
• Recommend and rationalize AI security tooling as part of the broader enterprise security strategy.
• Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards.

What Experience You ll Need

• Bachelor s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 8 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment.
• 2 4+ years of hands-on experience securing or reviewing AI/ML systems and platforms.
• Strong understanding of:
  • LLM architectures, embeddings, and Retrieval-Augmented Generation (RAG) patterns.
  • End-to-end ML pipelines (training validation deployment inference).
  • AI model supply chain risks (model registries, containers, dependencies, open-source components).
  • Zero Trust and identity-centric security models.
  • Cloud security across Azure, AWS, and Google Cloud Platform.
• Proven ability to influence architecture decisions and lead cross-functional initiatives at the enterprise level.
• Excellent communication skills, with the ability to engage senior technical and business leaders.

What Could Set You Apart

• Security certifications such as CISSP, CISM, CCSP, or SANS certifications.
• Experience contributing to responsible AI practices, explainability, or bias mitigation initiatives.
• Experience securing AI platforms in regulated industries, particularly financial services.
• Background supporting advanced encryption, cryptographic agility, or post-quantum readiness.
• Demonstrated experience in incident response and enterprise risk management.
• Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations.