Forward Deployed AI Security Lead

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, ‘job flexibility benefits’ (also known as I-140 or Adjustment of Status portability), etc. now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we are 

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. 

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company — delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment. 

Who we’re looking for

Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a Forward Deployed AI Security Lead within the Security Intelligence Engineering organization. You'll own the intelligence platform end-to-end: from API integrations with enterprise security tools, to a cross-source correlation engine, to an agentic AI layer that autonomously triages security findings at scale, to dashboards that deliver actionable intelligence to multiple security teams. You'll operate at the intersection of security operations, AI/ML engineering, and cloud platform development — embedding directly with security team leads to understand their workflows and building AI systems that transform them. This role follows the Forward Deployed Engineer model: you embed with internal security teams as your customers, deeply understand their operational reality, and build production systems that deliver measurable outcomes. 

What you'll be doing 

• Embed directly with security team leads across multiple functions to deeply understand their workflows, tools, and pain points 

• Lead discovery sessions to identify high-value automation opportunities — translating security operations problems into AI-solvable technical specifications 

• Own the structured intake process: prioritize requests by cross-team impact and risk reduction value, communicate capacity and timelines transparently 

• Design and build multi-agent architectures using managed AI services — autonomous triage agents, cross-source correlation agents, and team-specific specialist agents 

• Implement RAG systems over a centralized security data lake for natural language threat hunting and investigation 

• Build prompt engineering patterns, evaluation frameworks, and feedback loops that continuously improve agent accuracy 

• Design a model routing layer that directs each task to the optimal model based on complexity, latency, and cost 

• Implement centralized token usage monitoring and cost controls for leadership visibility 

• Own agent observability: monitoring for drift, hallucination detection, accuracy degradation, and failure mode identification 

• Architect human-in-the-loop controls and guardrails ensuring agents operate safely within defined boundaries 

• Design and build API connectors to enterprise security tools (EDR/XDR, cloud security, API security, identity, vulnerability management) 

• Architect the cross-source correlation engine that links findings across endpoint, cloud, identity, and network data 

• Define and evolve the data lake schema and ingestion pipelines for security telemetry 

• Build and maintain dashboards serving multiple security teams with team-specific views 

• Set engineering standards, code review practices, and architectural patterns as the team grows 

• Serve as the trusted technical advisor to security leadership — translating complex AI/ML capabilities into clear, actionable security outcomes 

What you bring 

• 5+ years building production systems, with strong Python and TypeScript fluency 

• 1+ years hands-on experience with LLMs in production or near-production contexts — prompt engineering, RAG architectures, agentic workflows, or fine-tuning 

• Hands-on experience with security tool APIs — particularly EDR/XDR platforms  

• Strong AWS foundation: S3, Lambda, RDS, IAM, VPC, and familiarity with managed LLM services (e.g., Amazon Bedrock) 

• Understanding of security operations workflows — alert triage, investigation chains, incident response, threat intelligence correlation 

• Demonstrated ability to work directly with non-engineering stakeholders: translating business/operational problems into technical solutions, managing expectations, and delivering outcomes 

• Experience building full-stack applications (API layer + frontend) that serve multiple user groups 

• Strong communication and interpersonal skills with the ability to influence cross-functional teams without direct authority 

Added bonus if you have

• Experience with multi-agent orchestration frameworks  

• Background in a forward-deployed, solutions engineering, or customer-embedded technical role — or early-stage startup experience 

• Experience with cloud security posture management platforms 

• MITRE ATT&CK framework knowledge and practical application to detection engineering 

• Experience building evaluation pipelines for AI systems — automated metrics, human evaluation protocols, A/B testing 

• Background in financial services security or regulated environments (SOX, SOC 2) 

• Experience with model serving optimization, cost management, and token usage monitoring 

• Familiarity with vector databases and retrieval system design 

What we'll bring 

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
• A work environment built on teamwork, flexibility and respect

• Professional growth and development programs to help advance your career, as well as tuition reimbursement

• Team Member Vehicle Purchase Discount

• Toyota Team Member Lease Vehicle Program (if applicable)

• Comprehensive health care and wellness plans for your entire family

• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

• Paid holidays and paid time off

• Referral services related to prenatal services, adoption, childcare, schools and more

• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

• Relocation assistance (if applicable)