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How much do artificial intelligence automotive jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for artificial intelligence automotive in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What is an artificial intelligence automotive job?

An Artificial Intelligence Automotive job involves developing and implementing AI technologies in vehicles to enhance automation, safety, efficiency, and user experience. Professionals in this field work on self-driving systems, advanced driver-assistance systems (ADAS), predictive maintenance, and AI-powered infotainment. Roles may include AI engineers, data scientists, machine learning specialists, and software developers. These jobs require expertise in AI, machine learning, computer vision, and automotive systems. The goal is to create smarter, safer, and more efficient vehicles using cutting-edge AI technologies.

What are some typical challenges faced by professionals in artificial intelligence automotive roles?

Professionals working in Artificial Intelligence Automotive roles often encounter challenges such as integrating AI algorithms with complex vehicle systems, ensuring safety and regulatory compliance, and managing large volumes of sensor and driving data. Balancing the need for rapid innovation with stringent testing standards can be demanding, especially when working on autonomous or advanced driver-assistance projects. Collaboration with multidisciplinary teams—including software engineers, hardware specialists, and automotive designers—is key to addressing these challenges effectively. Many find the work rewarding due to its impact on advancing vehicle safety, efficiency, and innovation in the automotive industry.

What are the key skills and qualifications needed to thrive in artificial intelligence automotive?

To thrive in an Artificial Intelligence Automotive role, you need a strong background in machine learning, computer vision, and automotive engineering, often backed by a relevant degree such as computer science or electrical engineering. Experience with tools like Python, TensorFlow, MATLAB, and automotive simulation software, as well as certifications in AI or autonomous systems, are highly valued. Effective problem-solving, collaboration, and communication skills help professionals excel in cross-functional teams and fast-paced environments. These skills ensure the development and safe integration of cutting-edge AI technologies in vehicles, meeting both industry standards and consumer needs.

How is artificial intelligence used in the automotive industry?

Artificial intelligence in automotive roles involves developing and implementing systems such as autonomous driving, driver assistance, and predictive maintenance. AI algorithms process sensor data to enable vehicles to navigate, detect obstacles, and improve safety, requiring skills in machine learning, data analysis, and programming. These applications are central to advancing vehicle automation and enhancing user experience.
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Artificial Intelligence Automotive jobs near you
Infographic showing various Artificial Intelligence Automotive job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 6% Contract, and 6% Nights. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Artificial Intelligence Data Architect and Engineer

Mitsubishi Logisnext Americas Inc

Houston, TX • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

About Us:
Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.
About the role:
The AI Data Architect & Engineer plays a critical role in building and scaling the company's long-term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high-volume machine-generated data. This role requires a balance of strategic design leadership and roll-up-your-sleeves implementation.
What you will do:
  • Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
  • Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
  • Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
  • Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
  • Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
  • Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
  • Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.

When & Where:
Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.
What you need to have:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
  • 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
  • Strong proficiency in SQL and Python
  • Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
  • Hands-on experience with cloud platforms, with Microsoft Azure preferred
  • Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
  • Strong understanding of data modeling, schema design, database optimization, and data integration patterns
  • Experience working with APIs, JSON, streaming data, and IoT or telematics data structures

What would be nice to have:
  • Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
  • Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
  • Experience supporting machine learning or AI-driven applications
  • Exposure to edge computing or hybrid cloud and edge architectures
  • Experience working with data governance considerations across multiple geographic regions, including North America and Europe
  • Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations

What we offer:
  • Medical, dental, and vision benefits
  • Paid Vacation, Sick Time, and Paid Holidays
  • Profit Sharing Opportunities
  • Flexible Spending and HSA Accounts
  • 401k with automatic company contribution and company match
  • Short-term and long-term disability insurance
  • Life, Dependent Life, and AD&D Insurance
  • Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
  • Employee Assistance Program
  • Employee Discounts
  • On-site fitness center (Houston)
  • On-the-job training and development

The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.
To be considered for this role, all applicants must submit a full and complete application through our careers page.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer/Veterans/Disabled
Agency Disclaimer:
Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company's discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.

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