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Artificial Intelligence Software Developer Jobs in Texas

Artificial Intelligence Engineer

Houston, TX · On-site

$99K - $133K/yr

The Domain AI Integration Engineer will be responsible for integrating advanced Artificial Intelligence and Generative AI capabilities into the company's domain software systems (e.g. Delfi, Lumi ...

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial ... Bachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ ...

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Write clean, efficient software code and scripts for AI workflows. Conduct rigorous testing and ... Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines Computer Vision: Production ...

Strong foundations in machine learning, statistics, data structures, and software engineering ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

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Artificial Intelligence Software Developer information

See Texas salary details

$44.7K

$104.2K

$154.7K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence software developer in Texas is $104,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $121,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities in Texas are hiring for Artificial Intelligence Software Developer jobs?

Cities in Texas with the most Artificial Intelligence Software Developer job openings:

Infographic showing various Artificial Intelligence Software Developer job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,201 per year, or $50.1 per hour.

Staff Software Engineer - Artificial Intelligence

Austin, TX • On-site

SupportFinity™
IT Services • 51 - 200 employees

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Support and reinforce the adoption of AI Software Engineering within the Manufacturing IT organization.

  • Identify, evaluate, and adopt computer vision, machine learning, and deep learning software solutions in collaboration with engineering teams.

  • Design, develop, and implement scalable ML and computer vision solutions for real-world manufacturing applications.


Job description

Staff Software Engineer – Artificial Intelligence

General Motors |

General Motors | Posted Mar 9

Full-time

Austin

Negotiable

Unknown

Job Description

The Staff Software Engineer – Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency.

The position will drive the identification, evaluation, and adoption of rapid, iterative, and incremental computer vision, machine learning, and deep learning software solutions together with Junior and Principal AI Engineers and our Manufacturing Engineering business partners.

We Are Looking for a Staff Software Engineer – Artificial Intelligence Who:
  • Has a strong drive for excellence
  • Challenges themselves and their peers
  • Thrives in collaborative, cross-functional environments
  • Demonstrates a strong work ethic
  • Has a strong ability and willingness to learn
  • Excels in data science and deep learning
  • Desires to deliver innovative solutions to complex problems
  • Leads and generates technical solutions, including specifying requirements, functional decomposition, analysis, development, and testing for current, new, and major programs
  • Performs complex design analysis
  • Specifies and balances system requirements
  • Provides, communicates, and supports common best practices within the software community
What You'll Do:
  • Define and drive adoption of GM Manufacturing AI capabilities
  • Identify opportunities to enhance and streamline current AI and GM Robotics Engineering processes in collaboration with Manufacturing Engineering SMEs
  • Design and develop ML solutions for real-world environments
  • Develop and implement computer vision solutions in real-world applicationsInterpret research artifacts and translate them into deployable solutions
  • Conduct simulation activities
  • Develop data visualization solutions
  • Design scalable solutions that minimize operational overhead
  • Ensure end-to-end system and interface understanding so solutions fit within architectural constraints
Your Skills & Abilities (Required Qualifications):
  • Master's degree in Computer Engineering or Data Science
  • In-depth knowledge and experience in software development
  • Extensive experience designing, training, testing, and deploying deep learning models for vision applications
  • In-depth experience with PyTorch, TensorFlow, and/or Keras
  • 8+ years of software engineering experience
  • 6+ years of AI, ML, and/or data science experience
  • In-depth experience with Ops, MLOps, and/or LLMOps
  • 4+ years of deep learning vision experience
What Will Give You A Competitive Edge (Preferred Qualifications): Benefits:
  • PhD
  • Publications
  • In-depth knowledge of ML fundamentals
  • Demonstrated experience developing and deploying ML solutions for real-world applications
  • Experience with cloud technologies such as Docker, Kubernetes (K8), and HPC platforms
  • Knowledge of Java/C#, Python, SQL, and C/C++
  • Strong analytical skills and the ability to think outside the box
  • Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
    • The salary range for this role is 160,200 to 333,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
    • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
    • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About the company

General Motors

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