Senior SaaS & AI Security Engineer | Hybrid

General Motors Company; Warren (MI); Hybrid; USD 140,000 - 190,000; Full time

Job summary

General Motors Company is seeking a Senior SaaS & AI Security Engineer to strengthen cloud-based applications and AI capabilities. The role spans identity, data protection, and risk management across SaaS and AI domains.

You will lead security program development, advise on architecture, and mentor junior engineers while partnering with legal, privacy, and product teams to ensure responsible AI adoption.

Qualifications

• Bachelor's or Master's degree in Computer Science, Cybersecurity, Engineering, or a related field.
• Minimum of 7 years in cybersecurity with a focus on SaaS security and AI-driven solutions.
• Strong understanding of cybersecurity principles, protocols, and best practices.
• Experience with SaaS security concepts including identity federation, access governance, API and OAuth security, logging, and data protection.
• Working knowledge of AI/ML security risks and assessing AI-enabled applications and services.
• 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, findings, and executive-ready risk summaries.
• Excellent communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• Develop and mature the SaaS security program, including baselines and monitoring.
• Assess SaaS platforms for identity, access, data protection, logging, privacy, resilience, and risk.
• Partner with owners to strengthen SSO, MFA, privileged access, OAuth and lifecycle controls.
• Identify risks from misconfiguration, excessive permissions, shadow SaaS, data exposure.
• Support security architecture reviews, control design, remediation tracking for SaaS solutions.
• Automate repetitive assessment and remediation workflows where possible.
• Develop AI agents and drive auto-remediation with the business.
• Communicate risk clearly to technical and non-technical stakeholders.
• Contribute to standards, playbooks, reference architectures, training, and security awareness.
• Stay updated on threats, vulnerabilities in automotive and AI domains.
• Provide mentorship to junior security engineers.

Skills

SaaS security

AI security

Identity federation

OAuth security

Security architecture reviews

Risk assessment

AI agents design

Executive risk summaries

Communication skills

Independent & collaborative work

Education

Bachelor's or Master's in CS / Cybersecurity / Engineering

Job description

General Motors Company is seeking a Senior SaaS & AI Security Engineer to strengthen cloud-based applications and AI capabilities. The role spans identity, data protection, and risk management across SaaS and AI domains.

You will lead security program development, advise on architecture, and mentor junior engineers while partnering with legal, privacy, and product teams to ensure responsible AI adoption.