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Forward Deployed AI Security Lead

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Toyota Deutschland GmbH
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Toyota Financial Services (TFS), a leading finance and insurance brand for Toyota and Lexus in North America, is searching for a Forward Deployed AI Security Lead to help create best-in-class customer experience.

Position Details

Title: Forward Deployed AI Security Lead
Location: Plano, Texas

Embeds directly with security teams to design AI-driven solutions that streamline security operations, automate triage, and provide actionable intelligence.

What You'll Be Doing
  • Embed directly with security team leads across multiple functions to understand workflows, tools, and pain points.
  • Lead discovery sessions to identify high-value automation opportunities and translate security operations problems into AI-solvable requirements.
  • Own the structured intake process, prioritizing requests by impact and communicating capacity and timelines.
  • Design and build multi-agent architectures using managed AI services, including autonomous triage agents, cross-source correlation agents, and 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 continually improve agent accuracy.
  • Design a model routing layer that directs tasks to the optimal model based on complexity, latency, and cost.
  • Implement centralized token-usage monitoring and cost controls for leadership visibility.
  • Own agent observability: detect drift, hallucinations, accuracy degradation, and identify failure modes.
  • Architect human-in-the-loop controls and guardrails to keep agents operating 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 trusted technical advisor to security leadership, translating complex AI/ML capabilities into clear, actionable outcomes.
What You Bring
  • 5+ years building production systems with strong Python and Type Script 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 such as 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, translate business problems into technical solutions, manage expectations, and deliver outcomes.
  • Experience building full-stack applications (API layer + frontend) that serve multiple user groups.
  • Strong communication and interpersonal skills, able 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, including automated metrics, human evaluation protocols, and 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
  • A work environment built on teamwork, flexibility, and respect.
  • Professional growth and development programs, including tuition reimbursement.
  • Vehicle purchase and lease programs.
  • Comprehensive health care and wellness plans for the whole family.
  • Toyota 401(k) Savings Plan with company match and annual contribution.
  • 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).
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. Toyota is proud to have 10+ partner groups across 100 North American chapters that support team members’ efforts to dream, do, and grow.

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…

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