Senior Manager - Intelligent Systems Engineering

Overview Toyota is one of the world’s most admired brands, leading the future of mobility through innovative, high‑quality solutions designed to enhance lives. Position Summary This Senior Manager – Intelligent Systems Engineering role is based out of Toyota Headquarters in Plano, TX. Toyota does not offer sponsorship of job applicants for employment‑based visas or other work authorization for this position at this time. Responsibilities Identify high‑value opportunities to apply AI, automation, and agent‑based workflows across the engineering stack and build working prototypes that demonstrate measurable engineering value. Define practical patterns for AI agents across planning, coding, testing, security review, deployment, and operations, with clear human‑in‑the‑loop checkpoints. Translate prototypes into reusable patterns, reference implementations, and adoption guidance that move teams beyond isolated experiments. Partner with security and architecture teams to define safe AI implementation guardrails for identity, access, data exposure, prompt and context handling, logging, and auditability. Lead, mentor, and develop a team of engineers; drive adoption across DevEx, platform engineering, security, and product engineering through credibility and execution. Incubate emerging ideas, validate technical feasibility, and transition mature capabilities to long‑term owning teams. Drive measurable improvements in developer productivity, delivery quality, and engineering speed while reducing duplication across teams experimenting with AI. Qualifications Basic qualifications: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent years of experience (an additional 4years if no degree). 10+ years of software engineering experience. 3+ years leading engineering teams in AI, automation, platform engineering, DevOps, or cloud engineering. Hands‑on experience building or enabling internal developer platforms, automation frameworks, or reusable engineering capabilities at enterprise scale. Experience with AI‑assisted development tools, agent frameworks, CI/CD platforms, cloud‑native architecture, and secure implementation patterns (identity, access, secrets, auditability). Demonstrated ability to drive adoption across cross‑functional teams through influence, credibility, and practical execution. Preferred qualifications: Master’s degree in Computer Science, Engineering, or related field. 12+ years of software engineering experience. 5+ years in a senior engineering leadership role at a large enterprise. Hands‑on experience with agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel), LLM platforms (AWS Bedrock, Azure OpenAI, Anthropic Claude), evaluation harnesses, and Model Context Protocol (MCP) or similar secure tool‑use patterns. Benefits Work environment built on teamwork, flexibility, and respect. Professional growth and development programs, including tuition reimbursement. Team Member Vehicle Purchase Discount. Team Member Lease Vehicle Program (if applicable). Comprehensive health care and wellness plans for your entire family. Toyota 401(k) Savings Plan with company match and annual retirement 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). Relocation Assistance (if applicable). EEO Statement 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. #J-18808-Ljbffr