Staff Enterprise Security Engineer, AI Security

Accountabilities:

• • Design and implement secure reference architectures for enterprise AI platforms, protecting data integrity, regulatory compliance, resilience, and overall security posture.
  • Establish and evolve a comprehensive framework for evaluating and vetting AI technologies, helping embed secure AI practices across the organization.
  • Develop the long-term roadmap for agentic AI identity and posture management in partnership with cross-functional security and technology teams.
  • Architect and implement preventative security guardrails that address risks introduced by AI agents and emerging AI use cases.
  • Apply strong security engineering practices through high-quality code using Python, Go, or similar programming languages.
  • Manage and improve infrastructure through Infrastructure as Code while maintaining scalable, reliable, and secure enterprise environments.
  • Apply expertise in security assessments, threat modeling, identity and access control, and data protection to solve complex security challenges.
  • Partner with engineering, security, infrastructure, and business stakeholders to establish strategic direction and drive execution across organizational boundaries.
  • Serve as a technical advisor to senior leadership, translating emerging AI security risks and opportunities into practical recommendations.
  • Mentor engineers and contribute to the development of security engineering practices, standards, and technical capabilities.

  Requirements

  • 7+ years of experience in security engineering, infrastructure security, or a closely related field.
  • 2+ years of experience providing technical leadership at staff-engineer level or leading teams within an enterprise environment.
  • Deep expertise in cloud security, particularly AWS and GCP, as well as container security and Kubernetes.
  • Proven experience designing and deploying complex security systems at enterprise scale.
  • Strong programming proficiency in Python, Go, Java, or similar languages.
  • Experience with security architecture, threat modeling, identity and access management, data protection, and enterprise security controls.
  • Experience designing, deploying, or reviewing automation for complex security workflows, including AI-driven and traditional automation approaches.
  • Strong ability to navigate ambiguous, large-scale technical challenges and translate them into practical, scalable solutions.
  • Excellent communication and stakeholder-management skills, with the ability to explain sophisticated AI and security risks to non-technical audiences.
  • Strategic thinking combined with a hands-on engineering mindset and the ability to influence technical direction across organizational boundaries.
  • Strong mentoring and collaboration skills, with a commitment to developing both people and security engineering practices.
  • Candidates with diverse industry backgrounds are encouraged to apply if they bring relevant security expertise and transferable experience.

  Benefits

  • Competitive location-based compensation, with the following published annual salary ranges:
    • Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.: $155,520–$194,400
    • New York, New Jersey, Washington State, or California outside the San Francisco Bay Area: $164,640–$205,800
    • San Francisco Bay Area, California: $182,960–$228,700
    • Potential eligibility for an equity plan and corporate bonus plan.
    • Health care insurance.
    • 401(k) retirement account.
    • Paid sick time.
    • Paid personal time off.
    • Paid parental leave.
    • Remote-first working environment, with occasional travel for team gatherings, project meetings, functional off-sites, or customer meetings.
    • Opportunities to work on high-impact AI and enterprise security challenges.
    • A culture that emphasizes innovation, inclusion, professional growth, community impact, and flexible ways of working.
    • Location note: This role is remote within the United States but is not eligible for hiring in San Francisco, Oakland, San Jose, or surrounding areas.
    • The stated salary ranges apply only to certain U.S. jurisdictions; compensation for other locations will be discussed during the hiring process.