Hybrid SaaS & AI Security Engineer

General Motors Company; Michigan; Hybrid; USD 150,000 - 190,000; Full time

Job summary

General Motors in the United States is seeking a Senior SaaS & AI Security Engineer to strengthen security of cloud-based applications and AI capabilities. This hybrid role reports to Warren, MI three days per week and involves hands-on work at the intersection of SaaS security, identity, data protection, and AI risk management.

You will translate evolving threats into scalable controls, partner with engineering and product teams, mentor junior engineers, and help define standards, playbooks,

Qualifications

• 7+ years of cybersecurity experience with SaaS security and AI-driven solutions.
• Strong knowledge of security principles, protocols, and best practices.
• Experience with SaaS identity, access governance, API and OAuth security, logging, and data protection.
• Ability to translate security requirements into technical specifications.
• Excellent communication and problem-solving skills.

Responsibilities

• Develop and mature the SaaS security program with baselines and continuous monitoring.
• Assess SaaS platforms for identity, access, data protection, logging, privacy, resilience, and third-party risk.
• Strengthen SSO, MFA, privileged access, service accounts, OAuth applications, and lifecycle controls.
• Identify and reduce risks from misconfiguration, excessive permissions, shadow SaaS, data exposure, and insecure admin practices.
• Automate repetitive assessment, monitoring, evidence collection, and remediation workflows.
• Develop custom AI agents and partner with the business to advance auto-remediation efforts.
• Communicate risk clearly to technical and non-technical stakeholders with concise recommendations and trade-offs.
• Contribute to security standards, playbooks, reference architectures, training, and awareness for SaaS and AI users.
• Stay updated on cybersecurity threats, especially in automotive and AI domains.
• Provide mentorship to junior security engineers.

Skills

SaaS security

AI security

Security architecture

Risk assessment

Identity & Access

Education

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Engineering, or related field

Job description

General Motors in the United States is seeking a Senior SaaS & AI Security Engineer to strengthen security of cloud-based applications and AI capabilities. This hybrid role reports to Warren, MI three days per week and involves hands-on work at the intersection of SaaS security, identity, data protection, and AI risk management.

You will translate evolving threats into scalable controls, partner with engineering and product teams, mentor junior engineers, and help define standards, playbooks,