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Toyota

Official importer, distributor, and dealer network

Senior Forward Deployed AI Security Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timePlano, TX, USAIn-person

About the Job

Requirements

  • At least 5 years of experience building production systems, with strong fluency in Python and TypeScript.
  • At least 1 year of hands-on experience with large language models in production or near-production contexts, such as prompt engineering, retrieval-augmented generation architecture, agentic workflows, or fine-tuning.
  • Hands-on experience with security tool application programming interfaces, particularly endpoint detection and response or extended detection and response platforms.
  • Strong AWS foundation, including S3, Lambda, RDS, IAM, and VPC, and familiarity with managed large language model services such as Amazon Bedrock.
  • Understanding of security operations workflows, including alert triage, investigation chains, incident response, and threat intelligence correlation.
  • Ability to work directly with non-engineering stakeholders, translate business or operational problems into technical solutions, manage expectations, and deliver outcomes.
  • Experience building full-stack applications with an application programming interface layer and frontend serving multiple user groups.
  • Strong communication and interpersonal skills, with ability to influence cross-functional teams without direct authority.

Responsibilities

  • 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 technical specifications.
  • Own the structured intake process by prioritizing requests according to cross-team impact and risk reduction value, and communicating capacity and timelines transparently.
  • Design and build multi-agent architectures using managed AI services, including autonomous triage agents, cross-source correlation agents, and team-specific specialist agents.
  • Implement retrieval-augmented generation systems over a centralized security data lake for natural-language threat hunting and investigation.
  • Build prompt engineering patterns, evaluation frameworks, and feedback loops to 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, hallucinations, accuracy degradation, and failure-mode identification.
  • Architect human-in-the-loop controls and guardrails to ensure agents operate safely within defined boundaries.
  • Design and build application programming interface connectors to enterprise security tools, including endpoint and extended detection and response, cloud security, application programming interface security, identity, and vulnerability-management tools.
  • 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 a trusted technical advisor to security leadership, translating complex AI and machine-learning capabilities into clear, actionable security outcomes.

Desired Qualifications

  • Familiarity with offensive security, including red team operations, penetration testing, and 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.
  • Knowledge of the MITRE ATT&CK framework 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, including SOX or SOC 2.
  • Experience with model-serving optimization, cost management, and token-usage monitoring.
  • Familiarity with vector databases and retrieval-system design.

About the Company

Toyota

Official importer, distributor, and dealer network

Toyota Motor LLC imports and distributes Toyota vehicles in Russia. It handles the sale of new cars through an official dealership network and supports customers with after-sales service at official service centers, along with financial products like Toyota Insurance and leasing options. The company works by acting as the exclusive importer and then using a network of authorized dealers (e.g., Major, ROLF) to retail vehicles and provide maintenance, financing, and insurance. This combination of import role, dealership-driven sales, and bundled services distinguishes it from competitors who may rely on independent distributors or lack integrated financing and insurance options. The goal is to offer the full range of Toyota vehicles in Russia with official service, financing, and insurance, ensuring a consistent customer experience across sales and after-sales activities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Russia
Founded
1997

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