Senior SaaS & AI Cyber Security Engineer

General Motors LLC; 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

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week.

General Motors is seeking a Senior SaaS & AI Security Engineer to strengthen the security of our cloud-based business applications and emerging artificial intelligence capabilities. This role will operate at the intersection of SaaS security, identity, data protection, and AI risk management. The successful candidate will help define and implement practical security controls across the SaaS and AI lifecycle—from discovery, architecture, and vendor assessment through deployment, monitoring, and continuous improvement. This is a hands-on role for someone who can translate evolving threats into scalable controls, partner effectively with engineering and business teams, and raise the organization’s security maturity without slowing responsible innovation.

What You’ll Do

SaaS security
Develop and mature the SaaS security program, including application inventory, security baselines, configuration standards, and continuous control monitoring.
Assess SaaS platforms and integrations for identity, access, data protection, logging, privacy, resilience, and third-party risk.
Partner with application owners to strengthen SSO, MFA, privileged access, service accounts, OAuth applications, and lifecycle controls.
Identify and reduce risks associated with misconfiguration, excessive permissions, unmanaged integrations, shadow SaaS, data exposure, and insecure administrative practices.
Support security architecture reviews, control design, exception management, and remediation tracking for SaaS solutions.
Automate repetitive assessment, monitoring, evidence collection, and remediation workflows where appropriate.
Develop custom AI agents and partner with the business to advance auto-remediation efforts.
Communicate risk clearly to technical and non-technical stakeholders, including concise recommendations, trade-offs, and decision points.
Contribute to standards, playbooks, reference architectures, training, and security awareness for SaaS and AI users and builders.
Stay abreast of the latest cybersecurity threats, vulnerabilities, and technological advancements, particularly in the automotive and AI domains.
Provide mentorship and guidance to junior security engineers.

AI security
Develop and implement security controls that enable and govern sanctioned AI usage, including approved tools, users, data types, integrations, access paths, monitoring, and policy enforcement.
Maintain visibility into approved AI use cases, models, providers, data flows, agents, tools, plugins, and associated business owners.
Develop repeatable security review patterns for AI products.
Partner with legal, privacy, compliance, procurement, data governance, and product teams to support responsible and secure AI adoption.
Track the evolving AI threat landscape and convert relevant findings into actionable control improvements, detections, and engineering guidance.

Your Skills&Abilities (Required Qualifications)

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Engineering, or a 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, including identity federation, access governance, API and OAuth security, configuration assessment, logging, and data protection.
Working knowledge of AI/ML security risks and the ability to assess AI-enabled applications, workflows, or third-party 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.

What Will Give You a Competitive Edge (Preferred Qualifications)

Certifications such as CISSP or equivalent are highly desirable.
Familiarity with AI security standards and guidance, such as NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, MITRE ATLAS, or comparable practices.
Experience using security data analysis, data engineering, dashboards, or analytics to identify trends, prioritize risk, measure control effectiveness, and support security operations decisions.
Relocation is not available for this role.
GM does not provide immigration-related sponsorship for this role.

Additional Information

Relocation is not available for this role.
GM does not provide immigration-related sponsorship for this role.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being – at work and at home – so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility. Explore our global locations.