ZipRecruiter

Log In

1

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

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Beyond technical delivery, the Senior AI Agentic Engineer mentors engineers across the team, shapes the organization's AI automation strategy, translates ambiguous business problems into well ...

FIVE STAR MANAGEMENT

Process Engineer (UPK)

Houston, TX · On-site

... automation, process improvement, or a related role. * Proven experience in implementing AI ... Strong knowledge of PLC programming, SCADA systems, and robotics integration. * Familiarity with AI ...

Five Star Management

Process Engineer (UPK)

Houston, TX · On-site

$85 - $130/hr

... automation, process improvement, or a related role. * Proven experience in implementing AI ... Strong knowledge of PLC programming, SCADA systems, and robotics integration. * Familiarity with AI ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Determine when AI is appropriate and when a traditional application, integration, or automation ... Strong software engineering foundation using Python and/or C#/.NET . * Experience developing ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Determine when AI is appropriate and when a traditional application, integration, or automation ... Strong software engineering foundation using Python and/or C#/.NET . * Experience developing ...

Accenture

AI Infrastructure Operations Engineer

Houston, TX · Hybrid

$102K - $134K/yr

We build reusable operational tools, automation workflows, and platform capabilities that make ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

previous page

Showing results 41-60

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 Sep 7, 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 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 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 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.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

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 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,331 per year, or $45.8 per hour.

Automation Senior Developer (Remote)

Synch-Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

As an Automation Application Developer, you will lead Synch-Solutions into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of Synch-Solutions is in your hands as you transform vital business needs into code and drive innovation with our clients. Your work will power Synch-Solutions and its clients to collaborate and integrate code into the client's enterprise systems. This role is 100% remote and due to the sensitivity of the public sector only USA citizens are eligible currently.
Job Duties and Responsibilities
The Automation Application Developer will create, operate, and maintain RPA bots. Also, should be able to evaluate, test and load data from external sources (e.g., csv, xls, pdf); continuous improvement of SQL scripts and processes; and creation of data models for new data sets.
Requirements
  • At least 5 years of RPA software experience, specifically with UiPath and Automation Anywhere
  • At least 5 years of experience managing and delivering process improvement projects
  • At least 4 year of experience interfacing with c-level executives
  • At least 6 months of hands-on RPA development in Automation Anywhere 360 or AA2019
  • At least 2 years of experience with AI/automation, analytics, business, technology, or digital strategy projects
  • Certified Automation Advanced or Master RPA Professional
  • Familiarity with cognitive, automation, and related emerging technologies and techniques
  • Adept at process assessments, and understand applications of RPA in different business domains

Apply