[Skip To Content]

Senior SaaS & AI Cyber Security Engineer

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202621029

설명

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



Job Description:

The Role
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, tradeoffs, 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.



Additional Information:
Relocation is not available for this role.



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.