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# Security ML / AI Engineer, Senior

- **Company:** Toyota Financial Services
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing Security, Cloud Engineering, Cyber Security, System Configuration, Information Leak Prevention, Software Design Patterns, Identity and Access Management, Team Foundation Server, Azure Machine Learning, Software Engineering, Cloud Platform System, Data Poisoning, Cyber Threat Analysis, Agentic-AI, Enterprise Integration, Build Process, CIS Benchmarks
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/40adaa04-0580-434e-a9d2-93c082aa7e38

## About the Role

Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a Senior AI Security Engineer to help shape how the Cloud Security Centre of Excellence secures Artificial Intelligence (AI) across the business. You'll operate at the intersection of cloud security and AI - configuring detection and response tooling, reviewing AI solution architectures, and providing hands-on guidance to engineering, data science, and risk teams., * 4-6 years of experience in cybersecurity, cloud security, or security engineering

 * Hands-on experience with cloud-based AI/ML services and platforms (e.g., model hosting, inference APIs, agent frameworks)
 * Strong understanding of cloud security principles, architectures, and controls in enterprise environments
 * Experience configuring and operationalizing security detection and response tooling
 * Ability to conduct security architecture reviews and communicate findings to technical and non-technical stakeholders
 * Strong communication and interpersonal skills with the ability to influence cross-functional teams without direct authority
 * Working knowledge of at least one major cloud platform with emphasis on security services and configurations

Added bonus if you have

 * Familiarity with AI/ML threat landscapes including prompt injection, data poisoning, model extraction, and adversarial attacks
 * Experience developing security policies, standards, or reference documentation
 * Self-motivated individual who thrives in ambiguous environments and can build processes from the ground up
 * Experience performing risk assessments on third-party technologies and vendor solutions
 * Fundamentals on emerging AI threats, adversarial techniques, and evolving security frameworks

## Description

* 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