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Artificial Intelligence Developer Jobs in Texas (NOW HIRING)

SQDM

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Bellevue, WA (Hybrid - 3 days/week) or Remote Role Overview We're building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You'll ...

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All JobsArtificial Intelligence Developer JobsArtificial Intelligence Developer Jobs in Texas

Artificial Intelligence Developer information

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$27.7K

$106.7K

$163.1K

How much do artificial intelligence developer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for artificial intelligence developer in Texas is $106,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,829.00 and $135,432.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

What are popular job titles related to Artificial Intelligence Developer jobs in Texas?

For Artificial Intelligence Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Developer jobs in Texas look for?

The top searched job categories for Artificial Intelligence Developer jobs in Texas are:

Artificial Intelligence Developer jobs near you
Infographic showing various Artificial Intelligence Developer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,694 per year, or $51.3 per hour.

Artificial Intelligence Consultant, DPS, Austin, Tx

Pedigo Staffing Services

Austin, TX • Hybrid

Per diem

Posted 22 days ago

Job description

Working Title: Artificial Intelligence Engineer  
Primary Work location: 5805 N Lamar Blvd, Austin, TX 78752
Agency: Texas Department of Public Safety 
Solicitation Reference Number: 40526R0024893    
Category: Applications/Software Development
Remote Policy: Must reside within 300 miles or 3-4 hours of work location.Required to go in office at least one (1) day a month as designated by DPS.
Hours: Monday through Friday from 8:00 AM through 5:00 PM, excluding State holidays when the agency is closed. Some nights and weekends as needed.  
Visa/Contracting Type: W-2 employment with benefits. Must be US Citizen, EAD, or Green Card Holder. No H1-B's, 1099's, or Corp-to-Corp.
Job Details: 
Required/Preferred Skills: 
  • 1 year - Required, Building and deploying components of the enterprise search tool.
  • 1 year - Required, Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.
  • 1 year - Required, Supporting implementation and testing of AI agents aligned to business unit needs.
  • 1 year - Required, Developing technical controls, documentation, and processes required for AI governance adoption
Texas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1, hereafter referred to as Candidate(s), who meets the general qualifications of Artificial Intelligence/Machine Learning Engineer 1, Applications/Software Development and the specifications outlined in this document for the Texas Department of Public Safety.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Public Safety  and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Public Safety will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Information Technology Division requests a short term staff augmentation to support critical artificial intelligence initiatives currently underway at the Texas Department of Public Safety (DPS). The requested AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery timelines for multiple enterprise level priorities.
    Services shall be provided during normal business hours unless otherwise coordinated through the Texas Department of Public Safety. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.
    The primary work location(s) will be at Hybrid / 5805 N. Lamar Blvd, Austin, Tx 78752. The working position is Hybrid - On Site and Telework. Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Department of Public Safety will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
    The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Department of Public Safety.
    DPS is simultaneously advancing four major objectives:
    • Implementing an enterprise search solution to improve information retrieval across DPS systems.
    • Deploying the AI inventory and monitoring system (Darwin).
    • Developing and operationalizing various AI agents to improve internal efficiency and public facing services.
    • Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.