Senior Manager – Intelligent Systems Engineering

Toyota North America•Plano, TX

1d•Onsite

About The Position

Toyota is looking for team members who are passionate about technology and interested in joining a collaborative and highly motivated team as a Senior Manager – Intelligent Systems Engineering. The primary responsibility of this role is to lead a hands-on engineering function that accelerates the practical adoption of AI, automation, and agentic capabilities across engineering teams. This role turns emerging AI opportunities into reusable patterns, prototypes, and secure implementation guidance that improve engineering productivity and delivery quality. Reporting to the General Manager – Cloud Computing Engineering, the person in this role will join the Engineering, Cloud, and Software Development team to build and maintain secure, scalable, and resilient cloud infrastructure and systems.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience (an additional 4 years 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

Nice To Haves

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

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 & 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

Benefits

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)