Security ML / AI Engineer, Senior
Toyota North America3 days ago
Plano, TX, USASenior
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.
- Develop detection policies, response playbooks, and automated workflows for AI-powered threat identification.
- Conduct security architecture reviews of AI and machine learning solutions.
- Provide security guidance for cloud-based AI services, including model hosting, agent frameworks, and inference APIs.
- Evaluate 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 enterprise standards.
- Develop AI security reference architectures, design patterns, documentation, policies, standards, and governance frameworks.
- Advise application development, data science, and risk/compliance teams on secure AI integration.
- Perform risk assessments of third-party AI tools and services.
- Deliver training, brown bags, and awareness sessions on AI security topics.
- Contribute to management and solve intermediate to complex business problems.
Requirements
- Requires 4-6 years of experience in cybersecurity, cloud security, or security engineering.
- Requires hands-on experience with cloud-based AI/ML services and platforms, including model hosting, inference APIs, or agent frameworks.
- Requires strong knowledge of cloud security principles, architectures, and enterprise controls.
- Requires experience configuring and operationalizing security detection and response tooling.
- Requires the ability to conduct security architecture reviews and communicate findings to technical and non-technical stakeholders.
- Requires working knowledge of at least one major cloud platform, with emphasis on security services and configurations.
- Preferred qualifications include familiarity with AI/ML threats such as prompt injection, data poisoning, model extraction, and adversarial attacks.
- Preferred qualifications include experience developing security policies, standards, reference documentation, and third-party technology risk assessments.
- Preferred qualifications include knowledge of emerging AI threats, adversarial techniques, and evolving security frameworks.
Benefits
- Teamwork-focused and flexible work environment.
- Professional growth and development programs and tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program, if applicable.
- Comprehensive health care and wellness plans.
- Toyota 401(k) Savings Plan with company match and annual retirement contribution, if applicable.
- Paid holidays and paid time off.
- Prenatal, adoption, childcare, school, and related referral services.
- Tax-advantaged accounts including HSA, Health Care FSA, and Dependent Care FSA.
- Relocation assistance, if applicable.
Categories
About Toyota North America
At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. Ready to Dream, Do and Grow with us?