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

Senior Automation Engineer

Houston, TX · Hybrid

$99K - $130K/yr

As a Senior Automation Engineer , you will lead the programming, commissioning, and optimization of ... Advanced AI tools and resources to help level up and work smarter * Clear paths to grow your career ...

Senior Automation Engineer

Houston, TX · Hybrid

$99K - $130K/yr

As a Senior Automation Engineer , you will lead the programming, commissioning, and optimization of ... Advanced AI tools and resources to help level up and work smarter * Clear paths to grow your career ...

Senior Automation Engineer

Houston, TX · On-site

$99K - $130K/yr

As a Senior Automation Engineer , you will lead the programming, commissioning, and optimization of ... Advanced AI tools and resources to help level up and work smarter * Clear paths to grow your career ...

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 ...

New

Senior 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 ...

Sr AI Agentic Engineer

Spring, TX · On-site

$88K - $121K/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 ...

New

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 ...

Showing results 21-40

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:
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 Engr, Manufacturing Automation Design & Engineering

Amazon

Houston, TX • On-site

Full-time

Re-posted 27 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Web Services' Hardware Engineering team is looking for experienced professionals to help build the world's premier cloud computing platform. Our Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions - robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows - across contract manufacturer sites worldwide.
About the Role: You will own the mechanical design IP that every automation cell depends on - fixtures, jigs, end-of-arm tooling, grippers, and custom mechanical interfaces between robots and product components. Every cobot needs tooling

Every station needs fixtures. Every platform changeover needs quick-change adapters. You define the mechanical design architecture and reuse strategy: modular fixture libraries, cross-platform EOAT standards, and design-for-reuse principles that ensure mechanical hardware scales across all platforms and contract manufacturer sites without redesign.

You independently lead mechanical design vendors and own the fixture/tooling IP library that is core to AWS's automation replication strategy.
Our scope covers all server and rack assembly across all architectures and platforms - compute, AI/ML accelerators, storage, and networking. We design intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting - turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount.This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25-30% travel anticipated).
Key job responsibilities
Define mechanical design architecture: fixture library standards, Tools and Fixture reuse strategy, modular design principles
Design fixtures, jigs, and work-holding devices for automated assembly operations
Design Tools and Fixtures: custom grippers, vacuum end-effectors, tool changers per application
Create 3D CAD models for cell mechanical integration (robot mounting, conveyor interfaces, part presentation)
Own and maintain design library of validated fixtures/tools for cross-platform reuse
Lead mechanical design vendors through specification, evaluation, and acceptance
Prototype and validate mechanical designs through rapid iteration (3D printing, machining)
Design pick-point interfaces between automation equipment and server components (chassis, heatsinks, DIMMs)
About the team
We are building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled. The Manufacturing Automation Design & Engineering team is responsible for engineering - defining automated process requirements, designing and proving solutions at proof-of-concept, and maintaining AWS-owned intellectual property that scales globally

We work within a collaborative framework across Hardware Engineering (product design for automation), Manufacturing Automation Design & Engineering (process specification and validation), and Manufacturing Operations (deployment and scaling) - ensuring automation is engineered once, proven once, and deployed everywhere.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US