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Automotive Ai Jobs in Spring, TX (NOW HIRING)

ZT Automotive

AI Growth Specialist

Houston, TX · On-site

Job Type Full-time Description We are looking for an analytical, detail-oriented, and driven Marketing & AI professional to join the ZT Automotive team. This role will focus on analyzing AI and ...

Accenture

Automotive Management Consultant

Houston, TX · On-site

... AI to create value at speed for organizations across industries. Our strategy is to be the ... Minimum of 3 years experience in Consulting in the Automotive sector to include but not limited to:

ZT Auto

AI Growth Specialist

Houston, TX · On-site

We are looking for an analytical, detail-oriented, and driven Marketing & AI professional to join the ZT Automotive team. This role will focus on analyzing AI and operational data, training and ...

ZT Auto

AI Growth Specialist

Houston, TX · On-site

We are looking for an analytical, detail-oriented, and driven Marketing & AI professional to join the ZT Automotive team. This role will focus on analyzing AI and operational data, training and ...

ZT Automotive

Service Operations Advisor

Houston, TX · On-site

Job Type Full-time Description ZT Automotive is seeking a driven, professional Service Operations ... Timely answer inbound phone calls and texts, including interactions supported by AI communication ...

ZT Automotive

Business Development Associate

Houston, TX · On-site

$41K - $56K/yr

... AI-assisted communications, getting hands-on with the tools shaping the future of customer ... automotive or BDC experience required • Strong communicator, comfortable on the phone and in ...

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Showing results 1-20

All JobsAutomotive Ai JobsAutomotive Ai Jobs in Spring, TX

Automotive Ai information

See Spring, TX salary details

$29.4K

$58.1K

$98.3K

How much do automotive ai jobs pay per year?

As of Sep 5, 2026, the average yearly pay for automotive ai in Spring, TX is $58,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $69,900.00 per year, depending on experience, location, and employer.

What is Automotive AI?

Automotive AI refers to the integration of artificial intelligence technologies in vehicles and automotive systems to enhance safety, efficiency, and user experience. This includes applications such as driver assistance systems, autonomous driving, predictive maintenance, and smart infotainment features. AI enables vehicles to perceive their environment, make decisions, and learn from data, transforming how cars operate and interact with drivers. As the industry advances, Automotive AI is becoming crucial for developing connected, autonomous, and intelligent vehicles.

What are some common challenges faced by professionals working in Automotive AI, and how can they address them?

Professionals in Automotive AI often face challenges such as integrating AI algorithms with legacy vehicle systems, ensuring the safety and reliability of autonomous features, and keeping up with rapidly evolving technologies. Collaboration with multidisciplinary teams—including software engineers, hardware designers, and automotive safety experts—is essential to address these challenges. Staying updated on industry standards and participating in continuous learning opportunities can help professionals remain effective and innovative in this dynamic field.

What are the key skills and qualifications needed to thrive as an Automotive AI engineer, and why are they important?

To thrive as an Automotive AI Engineer, you need a strong background in computer science, machine learning, robotics, and automotive systems, typically demonstrated by a relevant degree and experience in AI-driven vehicle technologies. Familiarity with tools like Python, TensorFlow, ROS (Robot Operating System), and automotive software standards such as AUTOSAR is important, as well as experience with sensor data and simulation platforms. Strong problem-solving skills, teamwork, and the ability to communicate complex technical concepts to multidisciplinary teams set candidates apart. These skills are vital for developing safe, innovative AI solutions that advance vehicle automation and enhance driving experiences.

What is the difference between Automotive Ai vs Automotive Software Engineer?

AspectAutomotive AiAutomotive Software Engineer
Required CredentialsDegree in AI, Machine Learning, Computer Science; certifications in AI/MLDegree in Software Engineering, Computer Science; coding certifications
Work EnvironmentResearch labs, automotive R&D centers, tech companiesAutomotive manufacturers, suppliers, tech firms
Industry UsageDeveloping autonomous driving systems, sensor data analysisBuilding vehicle control software, embedded systems

Automotive Ai specialists focus on developing AI algorithms for autonomous vehicles and sensor data processing, often requiring expertise in machine learning. Automotive Software Engineers design and implement vehicle software systems, including control units and embedded applications. While both roles work within the automotive industry, Automotive Ai roles are more research and AI algorithm-focused, whereas Automotive Software Engineers concentrate on software development and integration.

What are popular job titles related to Automotive Ai jobs in Spring, TX?

For Automotive Ai jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Automotive Ai jobs in Spring, TX look for?

The top searched job categories for Automotive Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Automotive Ai jobs?

Cities near Spring, TX with the most Automotive Ai job openings:

Automotive Ai jobs near you
Infographic showing various Automotive Ai job openings in Spring, TX as of August 2026, with employment types broken down into 89% Full Time, 9% Contract, and 2% Nights. Highlights an 100% In-person job distribution, with an average salary of $58,126 per year, or $27.9 per hour.

AI Growth Specialist

ZT Automotive

Houston, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Job Type
Full-time
Description
We are looking for an analytical, detail-oriented, and driven Marketing & AI professional to join the ZT Automotive team. This role will focus on analyzing AI and operational data, training and improving AI models, supporting inbound and outbound customer communication, and developing marketing campaigns designed to increase appointments, customer retention, and overall revenue growth.
The ideal candidate is someone who enjoys working with data, identifying trends and opportunities, improving processes, and helping bridge the gap between AI technology, customer experience, and operational performance.
Requirements
  • Analyze AI performance data, inbound and outbound call activity, appointment trends, and customer engagement metrics to identify growth opportunities and operational improvements
  • Help train, monitor, and improve AI models to ensure accurate customer communication, scheduling support, and escalation handling
  • Review AI conversations and call flows to identify areas for optimization, efficiency improvements, and customer experience enhancements
  • Answer inbound customer calls as needed to support operational coverage and maintain strong customer service standards
  • Make outbound calls for customer follow-up, retention campaigns, recalls, maintenance reminders, missed appointments, and marketing initiatives
  • Develop and execute outbound marketing and customer retention campaigns through calls, text messaging, email, and AI-driven communication tools
  • Monitor appointment trends, conversion rates, show rates, and missed opportunities to develop strategies that increase appointment volume and revenue
  • Identify new customer outreach opportunities using historical data, service history, recalls, declined services, maintenance schedules, and inactive customer trends
  • Help drive ROI through automated scheduling, intelligent reminders, and AI-assisted processes that improve efficiency and free staff for higher-value tasks
  • Measure, analyze, and report on marketing and AI effectiveness while using insights to optimize performance
  • Present insights, recommendations, and progress updates to leadership
  • Work closely with operations and leadership teams to proactively identify and reduce issues before they arise
  • Other duties as assigned

Ideal Candidate
  • Analytical and data-driven mindset
  • Strong communication and customer service skills
  • Comfortable working with AI tools, reporting, and operational data
  • Ability to multitask between analysis, campaigns, customer communication, and operational support
  • Strong attention to detail and organizational skills
  • Self-motivated with a proactive approach to problem-solving and process improvement
  • Experience in marketing, call center operations, BDC/SDC, customer retention, or AI-related roles preferred

Apply