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Ai Automation Engineer Jobs in Spring, TX (NOW HIRING)

Garver

Water Automation Team Leader

Houston, TX · On-site

Team activities include designing control systems, developing PLC programming logic and SCADA HMI ... Knowledge of Industry 4.0 trends, predictive maintenance, and AI in automation. * Demonstrated ...

SDH Systems

AI Architect | Onsite

Houston, TX · On-site

... chatbots, AI automation, Agentic AI and other cutting-edge use cases. This role requires a deep ... Collaborate with product managers, Client Architects, developers, and stakeholders to identify AI ...

New

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

AI and Automation AI Agents Experience Required: 10 & Above Role Descriptions: · Strong experience in enterprise solution architecture, backend engineering, and distributed systems design. · ...

OmniForce

AI Business Lead

Houston, TX · On-site

The AI Business Lead will be responsible for training FP&A teams on tools such as Microsoft Power Automate, Databricks, AI-enabled workflow capabilities, prompt engineering, and related automation ...

Lancium

SCADA Engineer

The Woodlands, TX · On-site +1

Who We Are Lancium builds gigawatt-scale campuses for AI data centers. We develop and orchestrate ... What You Will Do Lancium is seeking a SCADA/Automation engineer to assist in planning/developing ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Spring, TX

Ai Automation Engineer information

See Spring, TX salary details

$32.9K

$95.3K

$145.1K

How much do ai automation engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai automation engineer in Spring, TX is $95,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $109,900.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What job categories do people searching Ai Automation Engineer jobs in Spring, TX look for? The top searched job categories for Ai Automation Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Automation Engineer jobs? Cities near Spring, TX with the most Ai Automation Engineer job openings:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,331 per year, or $45.8 per hour.

Automation Mechanical Engineer (PE_AME A Group)-Houston,TX

Q-Edge Corporation, Foxconn

Houston, TX • On-site

Full-time

Re-posted 3 hours ago

Job description

Purpose of the position
Automation Mechanical Engineer：The role encompasses responsibilities such as equipment maintenance, technical renovation, and automation upgrades. Its contributions lie in ensuring the efficient operation of equipment while driving cost reduction and efficiency improvements for enterprises through innovation and team collaboration, thereby promoting industrial upgrading.         
Duties and Responsibilities         
1. Responsible for daily maintenance, calibration, repair, and anomaly resolution of fixture and equipment to ensure stable operations. Examples include: Developing preventive maintenance plans to reduce sudden failures and responding promptly to production line stoppages.
2. Participates in fixture and equipment retrofit, introducing new fixture and equipment, and optimizing processes to meet evolving production demands. For instance: Modifying software or hardware to adapt old fixture and equipment to new specifications.
3. Designs and implements automation projects, such as robotic material handling systems and fixture recycling lines, to reduce labor intensity and support smart manufacturing transitions.  
4. Collaborates with production, procurement, and suppliers to coordinate resources and resolve issues.
5. Compiles abnormality reports, technical documents, and provides technical training to teams.
6. Enhancing production efficiency by improving yield rates and units per hour (UPH).   
Education and work experience
  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related field.
  • 3+ years of electrical maintenance experience in manufacturing, background in automotive electronics, semiconductor, or precision assembly industries preferred.
  • Experience in robotics, AGV, AOI, or related specialized fields is highly preferred.
  • AI implementation experience in automation environments is preferred.

Working conditions
This role is primarily based in a fast-paced, high-volume manufacturing facility, requiring daily presence on the production floor to oversee processes, troubleshoot issues, and ensure operational efficiency.
May require occasional weekend hours to support production deadlines, emergency repairs, or project implementations. 
Skills:
Proficiency in CAD/CAM software, Lean Manufacturing, Six Sigma, and statistical analysis tools.
Core Competencies: Technical and Professional Expertise, Learns Continuously, Problem Solving, Communicates Powerfully and Prolifically
Functional Competencies: Project Management, Innovative Thinking, Technology Savvy, Risk Management

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