AI Security Engineer Senior Manager

Key Responsibilities

• Build the AI Security Strategy – Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.
• Embed Security into AI at Scale – Ensure secure‑by‑design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.
• Lead AI Risk & Governance – Establish frameworks to manage AI‑specific risks such as model integrity, data leakage, adversarial threats, and misuse; partner with risk and legal to operationalize responsible AI and regulatory compliance.
• Architect Secure AI Solutions – Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and Dev Sec Ops  pipelines.
• Drive Standards and Controls – Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.
• Build and Develop Talent – Lead, mentor, and scale a high‑performing team of engineers and security specialists; elevate AI security capabilities across the organization.
• Enable Business Outcomes Securely – Balance innovation with risk management, enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.
• Influence and Align Stakeholders – Engage senior leaders across technology, product, risk, and business functions; communicate clearly on risks, trade‑offs, and investment priorities.

• Required:
  
  Bachelor's degree or equivalent in Computer Science, Computer Engineering, or Business Administration.
• Required:
  
  Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility.
• Required:
  
  Minimum 2 years of people and/or process management experience.
• Preferred:
  Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI.
• Preferred:
  Deep understanding of AI/LLM risks (prompt injection, data exposure, adversarial attacks) and mitigation approaches.
• Preferred:
  Experience with cloud‑native architecture (AWS, Azure, GCP) and modern engineering practices (Dev Sec Ops , MLOps).
• Preferred:
  Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations.
• Preferred:
  Demonstrated ability to influence senior stakeholders and lead cross‑functional initiatives at scale.
• Desired:
  Ability to work independently and collaborate as part of a team.
• Desired:
  Effective written and verbal communication skills.
• Desired:
  Meticulous attention to detail and quality of work product.
• Desired:
  Ability to build and sustain professional relationships.
• Desired:
  Ability to lead projects or work streams.
• Desired:
  Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment.
• Desired:
  Strong interpersonal skills and professional demeanor.
• Desired:
  Ability to meet deadlines.
• Desired:
  Ability to mentor and provide clear guidance to others.

Salary range: $137,400 to $282,100. Eligible for a discretionary annual incentive program subject to the program rules.