Forward Deployed Secuirty Engineer, Sr

Overview

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 worlds 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. Were 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 Toyotas vision to move people beyond whats possible. At TFS you will help create best-in-class customer experience in an innovative collaborative environment.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other workauthorization for this role now or in the future. You must have the right to work in the United States and not requireToyota 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 job flexibility benefits also known as I-140 or Adjustment of Status portability etc.) now or in thefuture. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorshipnow or in the future.

Who we are looking for

Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a Senior Forward Deployed AI Security Engineer within the Cyber AI Enablement organization. Youll design develop operate and continuously enhance the intelligence platform: 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. Youll 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 internal security teams as your customers deeply understand their operational reality and build production systems that deliver measurable outcomes.

What youll 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 architecture 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

• Familiarity with Offensive Security: Red Team Operations Penetration Testing Vulnerability Management
• 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 well bring
During your interview process our team can fill you in on all the details of our industry-leading benefits and careerdevelopment 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 Toyotaregardless of whether you contribute (if applicable)
• 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)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.

Have a question need assistance with your application or do you require any special accommodations Please send an email to .

Required Experience:

Senior IC