Senior SaaS & AI Cyber Security Engineer

What you'll do

• Develop and monitor SaaS security controls, including application inventory, configuration standards, identity protections, and remediation workflows.
• Create and govern security controls for approved AI use, assess AI products, and collaborate with business and risk partners on responsible adoption.
• Conduct security reviews, communicate risks and recommendations, and mentor junior security engineers.

What they ask for

• Bachelor's or Master's degree in Computer Science, Cybersecurity, Engineering, or a related field.
• Minimum of 7 years of cybersecurity experience, with a significant focus on SaaS security and AI-driven security solutions.
• Experience with SaaS security concepts, AI/ML security risks, security architecture reviews or risk assessment, and designing, building, and securing AI agents.
• Strong cybersecurity fundamentals and ability to write clear technical requirements, standards, findings, and executive-ready risk summaries.

Nice to have

• CISSP or equivalent certification.
• Familiarity with NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, MITRE ATLAS, or comparable practices; security analytics experience.

Tools

SSO, MFA, OAuth, NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, MITRE ATLAS

AI focus

Develop and secure AI agents; establish controls and visibility for sanctioned AI tools, models, data flows, integrations, and use cases; assess AI products and evolving AI threats; support auto-remediation and responsible AI adoption.