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Manager Intelligent Systems Engineering information

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$60.5K

$142.1K

$196K

How much do manager intelligent systems engineering jobs pay per year?

As of Jun 22, 2026, the average yearly pay for manager intelligent systems engineering in the United States is $142,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data science, or systems engineering can reach annual salaries of $500,000 or more, especially with extensive experience, advanced skills, and leadership roles. These positions often require advanced degrees, certifications, and a track record of significant contributions or management responsibilities.

What is the difference between Manager Intelligent Systems Engineering vs Systems Engineer?

AspectManager Intelligent Systems EngineeringSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science; often requires leadership experienceBachelor's or Master's in Engineering, Computer Science
Work EnvironmentLeads teams, manages projects, strategic planningDesigns, develops, tests systems; works individually or in teams
Industry UsageUsed in tech, manufacturing, aerospace for overseeing system developmentUsed across similar industries for system design and implementation

The main difference is that a Manager Intelligent Systems Engineering oversees teams and projects, focusing on strategic management, while a Systems Engineer concentrates on designing and developing systems. Both roles require technical expertise, but the manager role emphasizes leadership and project oversight.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise and certifications.

Which 5 jobs will survive AI?

Manager of Intelligent Systems Engineering is likely to continue evolving alongside AI, focusing on designing, implementing, and overseeing AI-driven solutions. Jobs that require complex problem-solving, creativity, emotional intelligence, and specialized technical skills—such as healthcare professionals, software developers, data scientists, cybersecurity experts, and engineers—are expected to remain in demand as AI automates routine tasks. Continuous learning and certification in emerging technologies will help professionals stay relevant in these fields.

What is an intelligent systems engineering salary?

The salary for an Intelligent Systems Engineer or Manager varies based on experience, location, and industry, but typically ranges from $90,000 to $150,000 annually in the United States. Senior roles with advanced skills in AI, machine learning, and systems integration can earn higher compensation, often supplemented with bonuses and benefits.

What are Manager Intelligent Systems Engineering?

A Manager of Intelligent Systems Engineering oversees teams that design, develop, and implement smart, automated, or AI-driven systems. This role typically involves managing engineering projects, coordinating with cross-functional teams, and ensuring that intelligent systems meet organizational needs and standards. Responsibilities may include project planning, resource allocation, technical leadership, and staying current with advancements in AI, machine learning, and automation technologies. Effective managers in this role combine technical expertise with strong leadership and communication skills to drive innovation and operational efficiency.

How does a Manager of Intelligent Systems Engineering typically collaborate with cross-functional teams to deliver complex projects?

A Manager of Intelligent Systems Engineering often works closely with software developers, data scientists, product managers, and hardware engineers to deliver integrated solutions. They facilitate regular meetings to align goals, manage interdependencies, and resolve technical roadblocks. Effective collaboration involves translating business requirements into technical tasks, ensuring all teams are updated on project progress, and fostering a culture of open communication. This role also requires balancing strategic oversight with hands-on technical guidance to ensure successful project delivery.

What are the key skills and qualifications needed to thrive as a Manager Intelligent Systems Engineering, and why are they important?

To thrive as a Manager Intelligent Systems Engineering, you need a strong background in engineering principles, systems architecture, and advanced technologies like AI or machine learning, typically supported by a relevant degree and management experience. Familiarity with tools such as MATLAB, Python, TensorFlow, and project management software, as well as relevant certifications like PMP or Six Sigma, is highly valuable. Exceptional leadership, problem-solving, and communication skills help you effectively guide multidisciplinary teams and drive innovation. These skills ensure successful project execution, foster collaboration, and enable the development of cutting-edge intelligent systems that meet organizational goals.
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Manager Intelligent Systems Engineering jobs near you
Infographic showing various Manager Intelligent Systems Engineering job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $142,070 per year, or $68.3 per hour.
Senior Manager - Intelligent Systems Engineering

Senior Manager - Intelligent Systems Engineering

Toyota

Plano, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 855 frontline employees who took The Breakroom Quiz

25th of 44 rated automakers

Job description

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 world's 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. We're looking for talented team members who want to Dream. Do. Grow. with us.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

This position is based out of Toyota Headquarters in Plano, TX

Who we're looking for

Toyota is looking for team members who are passionate about technology and interested in joining a collaborative and highly motivated team as aSenior 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.

What you'll be doing

  • 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

What you bring

  • 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

Added bonus if you have

  • 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

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development 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 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)

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+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

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 talent.acquisition@toyota.com.

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