Senior AI Security Engineer - Cloud & ML Defense

Toyota North America; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Healthcare benefits

Tuition reimbursement

401(k) with company match

Paid holidays & PTO

Relocation assistance

Job summary

Toyota North America is seeking a Senior AI Security Engineer to help shape the Cloud Security Centre of Excellence and secure AI across the business. You’ll work at the intersection of cloud security and AI, configuring detection and response tooling and guiding engineering, data science, and risk teams.

You will review AI solution architectures, develop security policies, and partner with cloud engineers to ensure workloads meet enterprise standards while delivering secure, scalable AI

Qualifications

• 4–6 years of experience in cybersecurity or cloud security.
• Hands-on with cloud AI/ML services and platforms.
• Ability to perform security architecture reviews and communicate findings to technical and non-technical stakeholders.
• Strong cross-functional collaboration and communication skills.
• Experience configuring and operationalizing security detection and response tooling.
• Familiarity with at least one major cloud platform's security services.

Responsibilities

• Configure, deploy, and maintain AI-driven detection and response capabilities across the enterprise security environment.
• Monitor AI security tooling for anomalous behavior, false positives, and detection efficacy, tuning policies and rules to optimize performance.
• Develop and refine detection policies, response playbooks, and automated workflows for AI-powered threat identification.
• Conduct architecture reviews of AI and machine learning solutions proposed by engineering and data science teams, evaluating security posture and risk.
• Provide security guidance and best practices to cross-functional teams adopting cloud-based AI services (e.g., model hosting, agent frameworks, inference APIs).
• Evaluate and recommend security controls for large language model deployments, including prompt injection mitigation, data leakage prevention, and model access governance.
• Partner with cloud engineering teams to ensure AI workloads follow security baselines and comply with enterprise standards.
• Develop and maintain AI security reference architectures, design patterns, and documentation for internal consumption.
• Advise application development, data science, and risk/compliance teams on secure integration of AI capabilities into their workflows.
• Contributes to the development of AI security policies, standards, and governance frameworks.
• Perform risk assessments on third‑party AI tools and services being evaluated for business adoption.
• Championing a security‑first mindset across the organization by delivering training, brown bags, and awareness sessions on AI security topics.
• Make contributions to management and solve intermediate to complex business problems.

Skills

Cybersecurity

Cloud security

AI/ML security

Security tooling

Communication

Cloud platform knowledge

Tools

AWS

Azure

GCP

Job description

Toyota North America is seeking a Senior AI Security Engineer to help shape the Cloud Security Centre of Excellence and secure AI across the business. You’ll work at the intersection of cloud security and AI, configuring detection and response tooling and guiding engineering, data science, and risk teams.

You will review AI solution architectures, develop security policies, and partner with cloud engineers to ensure workloads meet enterprise standards while delivering secure, scalable AI