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Artificial Intelligence Software Developer Jobs in Texas

Cymertek

SIGINT Software Developer

San Antonio, TX · On-site

... Artificial Intelligence, Information Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

IBM

Data Scientist-Artificial Intelligence

Houston, TX · On-site

Agentic Engineering, Data Science, Machine Learning, Software Engineering • Data Science ... At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing ...

New

Cymertek

Cross-Domain Software Developer

San Antonio, TX · On-site

... Artificial Intelligence, Secure Communications, Electrical Engineering, Computational Science, Secure Software Development, Embedded Systems Engineering, etc. ALTERNATE EXPERIENCE General comment on ...

Revionics, Inc.

Software Developer L2

Austin, TX · On-site

## Software Developer L2Applyremote type: Hybridlocations: US TX Remotetime type: Full timeposted on ... Revionics' leading retail pricing solutions leverage powerful artificial intelligence technologies ...

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All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Texas

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 10, 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:

Artificial Intelligence Software Developer jobs near you
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.

Senior Artificial Intelligence Engineer

Baytown, TX • On-site

Covestro AG
See more jobs at Covestro AGexternal

$95K - $130K/yr

Other

Re-posted 26 days ago

Job description

Senior Artificial Intelligence (AI) Engineer

We are Covestro. We are curious, courageous, and colorful. We refine chemical material solutions with game‑changing products. Join us and our 18,000 colleagues to help make the world a brighter place.

Major Tasks and Responsibilities
  • Engineer and deploy AI and machine learning models into production environments.
  • Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management.
  • Create monitoring systems to detect model drift and implement automated retraining mechanisms.
  • Architect scalable AI solutions leveraging cloud and edge computing technologies.
  • Develop and maintain microservice architectures supporting AI deployments.
  • Implement data pipelines to support training and inference needs across diverse data types.
  • Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency.
  • Work cross‑functionally with business stakeholders to align AI solutions with business needs.
  • Evaluate and incorporate emerging AI technologies to maintain competitive advantage.
  • Drive business value by successfully integrating AI capabilities into Covestro's core processes.
  • Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation.
  • Enable data‑driven decision making by making AI accessible and reliable for business users.
Basic Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field with 7+ years’ experience; or Master’s degree with 5+ years’ experience; or PhD with 3+ years’ experience.
  • 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems.
  • Experience with modern AI frameworks.
  • Strong expertise in containerization and cloud platforms.
  • Proficiency with data processing technologies and database systems.
  • Programming expertise in Python and familiarity with other languages.
  • Strong problem‑solving skills and ability to translate business requirements into technical solutions.
  • Excellent communication skills with ability to explain complex technical concepts to diverse audiences.
  • Adaptability to work in a fast‑paced environment with evolving technologies and requirements.
  • Willingness to travel occasionally for collaboration purposes.
Equal Employment Opportunity

Hiring and advancement are based on job‑related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.

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