Senior SaaS & AI Cyber Security Engineer
Salary not listed • Warren, Michigan, United States of America • Full-time
Posted 2d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
General Motors is seeking a Senior SaaS & AI Security Engineer to enhance the security of its cloud-based business applications and emerging artificial intelligence capabilities. This role focuses on SaaS security, identity, data protection, and AI risk management, implementing practical security controls throughout the SaaS and AI lifecycle. The ideal candidate will translate threats into scalable controls, collaborate with engineering and business teams, and improve organizational security maturity while fostering innovation.
Responsibilities
- Develop and mature the SaaS security program, including application inventory, security baselines, and continuous control monitoring.
- Assess SaaS platforms for identity, access, data protection, logging, privacy, resilience, and third-party risk.
- Partner with application owners to strengthen SSO, MFA, privileged access, and lifecycle controls.
- Identify and reduce risks associated with misconfigurations, excessive permissions, and insecure practices.
- Support security architecture reviews, control design, and remediation tracking for SaaS solutions.
- Automate assessment, monitoring, and remediation workflows.
- Develop custom AI agents and support auto-remediation efforts.
- Communicate risk clearly to stakeholders with concise recommendations.
- Contribute to standards, playbooks, and training for SaaS and AI users.
- Stay updated on cybersecurity threats, vulnerabilities, and advancements in AI.
- Provide mentorship to junior security engineers.
- Develop and implement security controls for sanctioned AI usage, including tools, users, data types, and policy enforcement.
- Maintain visibility into approved AI use cases, models, providers, and data flows.
- Develop repeatable security review patterns for AI products.
- Partner with legal, privacy, compliance, and product teams to support responsible AI adoption.
- Track the AI threat landscape and translate findings into actionable control improvements.
Requirements
- Bachelor's or Master's degree in Computer Science, Cybersecurity, Engineering, or related field.
- Minimum of 7 years of experience in cybersecurity, with a significant focus on SaaS security and AI-driven security solutions.
- Strong understanding of cybersecurity principles, protocols, and best practices.
- Demonstrated experience with SaaS security concepts (identity federation, access governance, API/OAuth security, configuration assessment, data protection).
- Working knowledge of AI/ML security risks and ability to assess AI-enabled applications.
- Experience with security architecture reviews, risk assessment, or security control validation.
- Experience designing, building, and securing AI agents.
- Ability to write clear technical requirements, security standards, and risk summaries.
- Excellent communication, analytical, and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.