AI Software Developer Jobs in Texas
AI Software Developer jobs in Texas are among the most actively hired technology roles in the country, concentrated in enterprise software, defense and aerospace, financial technology, and health technology sectors at experience levels from entry-level through principal and staff engineer. Austin, Dallas, and Houston anchor most of the hiring, with major employers such as Dell Technologies, AT&T, and Texas Instruments maintaining deep, ongoing AI development teams across the state. The most in-demand specialties include large language model integration, MLOps and model deployment, and computer vision applied to industrial and healthcare use cases. Find a role that fits below and apply directly.
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With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report , we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!
JOB SUMMARY
Works under minimal supervision to design, build, and ship production artificial intelligence (AI) features within DIMS (Discovery Information Management System), the Innovation Hub's proprietary platform for managing faculty research Discovery Tracks. This is a hands-on software engineering role focused on delivering working, maintainable code rather than research benchmarking or proof-of-concept experimentation. Develops agentic workflows, natural language search, retrieval pipelines, and model integrations that ground platform features in institutional scientific data. Partners with the product owner, software developers, designers, and external technical collaborators to translate early-stage commercialization workflows into accurate, traceable, and auditable AI capabilities. Serves as the Innovation Hub's primary technical owner for applied AI as DIMS scales. ESSENTIAL FUNCTIONS
Job Duties
Builds and ships production AI features within DIMS, including multi step agentic workflows, natural language search, structured extraction, and recommendation and matching capabilities; writes and maintains the majority of the implementing code, moving agent concepts from specification to released functionality on a rapid delivery cadence rather than producing prototypes or evaluations alone.
Designs, builds, and maintains AI agents end to end, including prompt design and iteration, tool and function definitions, orchestration and routing across multi step tasks, context and memory management, and structured output contracts; develops reusable prompt, tool, and orchestration patterns so that additional agents can be stood up without rebuilding shared infrastructure; establishes prompt versioning, evaluation harnesses, regression tests, and acceptance criteria so that agent behavior is measurable, reproducible, and safe to release.
Integrates commercial and open large language models and related services into the platform through application programming interfaces, including Microsoft Azure Foundry/OpenAI Service and other institutionally approved platforms; manages model selection, versioning, cost, latency, rate limiting, and failure handling.
Develops retrieval and data pipelines that ground AI features in institutional and external sources, including faculty and laboratory datasets, invention disclosure content, and public scientific and intellectual property data sources; ensures outputs remain traceable to verifiable source material.
Partners with the product owner, software developers, and design to translate early stage commercialization workflows and stage gate criteria into working features; participates in requirements definition, technical scoping, and release planning
Implements guardrails, monitoring, and observability for accuracy, hallucination, data leakage, and cost; ensures alignment with UTSW information security, data stewardship, and compliance requirements and with intellectual property protections governing pre publication and pre patent content.
Contributes to code review, technical documentation, version control practice, and deployment automation; supports productionization and handoff of collaboratively developed prototypes into supported platform capabilities. QUALIFICATIONS
Education and Experience
Required
Education
Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience).
Experience
4 years professional software engineering experience.
Strong proficiency in Python, with working knowledge of TypeScript or JavaScript and modern web application development.
Experience building and shipping production applications that integrate large language models, including prompt design, tool calling, and retrieval.
Experience with testing, evaluation, and monitoring practices for nondeterministic systems.
Preferred
Education
May consider additional related years of experience in lieu of degree.
Experience
Experience with agent frameworks, multi step and multi-agent orchestration, and retrieval augmented generation in production.
Familiarity with Azure AI services (Azure OpenAI Service, Azure Foundry, Azure AI Search), enterprise identity, and CI/CD pipelines.
Experience with enterprise data and security patterns, including handling of confidential or pre publication content.
Familiarity with translational research, technology transfer, or scientific literature and patent data sources.
Knowledge, Skills and Abilities
Ability to write, review, and maintain production quality code as the primary mode of contribution, with sound judgment on architecture, testing, and maintainability.
Working knowledge of large language model capabilities and limitations, including context management, tool use, structured output, grounding, agent design patterns, and cost and latency tradeoffs.
Ability to apply engineering discipline to nondeterministic systems, including evaluation design, regression testing, versioning of prompts, tools, and models, and observability of agent behavior in production.
Ability to translate ambiguous scientific and operational requirements into working features, structured technical plans, and clearly documented decisions.
Knowledge of secure development practices and appropriate handling of confidential, pre publication, and pre patent information.
Ability to work effectively across business, technical, scientific, and administrative teams, including with external technical collaborators and vendors.
Strong verbal and written communication skills, including the ability to explain technical tradeoffs and limitations to non technical stakeholders.
Demonstrated initiative, learning agility, and sound judgment in a rapidly evolving technology area. PHYSICAL DEMANDS/WORKING CONDITIONS
Physical Demands
Sitting
Talking
Working Conditions
Indoors
Office Setting
PACT STATEMENT
P-Problem Solving : Employees take ownership in solving problems effectively, efficiently, and to the satisfaction of customers, or managers. They show initiative in addressing areas of concern before they become problems.
A-Ability, Attitude and Accountability : Employees exhibit ability to perform their job and conduct themselves in a professional and positive manner reflecting a professional environment readily assuming obligations in a dependable and reliable manner.
C-Communication, Contribution, and Collaboration : Who are our Customers? Anyone who requests our help, needs our work product, or receives our services. Employees focus on customer service with creative solutions while improving the customer experience through clear, courteous, and timely delivery and communication. Sharing ideas with others helps expand our contribution to department goals.
T-Teamwork : Employees work to contribute to the department's success by supporting co-workers, promoting excellence in work product and customer service, and in maintaining a satisfying, caring environment for each other. Salary Information
Salary is commensurate with education, skills, and relevant experience.
Security This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. EEO Statement UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, ge netic information, citizenship status, or veteran status.
See All 122+ AI Software Developer Jobs in Texas
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Where Texas roles are concentrated, by current openings.
AI Software Developer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Electronics & Hardware15
- Technology & Software7
- Banking & Financial Services5
- Education4
- Investment & Asset Management3
What Texas Employers Look For
The qualifications that appear most often in AI software developer jobs across Texas.
- Bachelor's or master's degree in computer science, artificial intelligence, or a related engineering field
- Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning or deep learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model hosting and inference pipelines
- Strong understanding of data pipelines, feature engineering, and model evaluation and monitoring practices
- Ability to collaborate with product and engineering teams and communicate model behavior clearly to non-technical stakeholders
AI Software Developer Jobs in Texas: Frequently Asked Questions
How do you become a ai software developer in Texas?
Texas does not require a state-issued license to work as an ai software developer, so the path centers on education and demonstrated technical skills. Most employers expect at least a bachelor's degree in computer science, software engineering, or a closely related field, though master's programs in artificial intelligence at Texas universities such as UT Austin, Texas A&M, and UT Dallas are well regarded by Texas employers. Building a portfolio of applied machine learning or AI projects is the most concrete way to move from academic training to hired.
How much do AI software developers make in Texas?
AI software developers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai software developers in Texas?
Employers hiring ai software developers in Texas right now include Apple, JPMorganChase, and SpaceX, based on current listings on Migrate Mate as of August 2026. Texas's mix of defense contractors, large financial institutions, and enterprise software companies creates consistent demand across multiple industries rather than concentrating hiring in a single sector.
Which Texas cities have the most ai software developer jobs?
Austin, Plano, and Dallas have the most ai software developer openings in Texas. Austin's concentration of technology companies and Dell's headquarters drive strong demand there, while Dallas's financial technology and telecommunications sectors, anchored by employers such as AT&T, keep hiring active, and Houston's energy and health system employers are steadily expanding their AI engineering teams.
Are there remote ai software developer jobs in Texas?
Yes, and more than most fields. About 73% of ai software developer openings tied to Texas are remote or hybrid as of August 2026, reflecting how much of this work is centered on code, model development, and cloud infrastructure rather than on-site hardware. The roles most likely to remain fully remote are those focused on model training, data pipeline engineering, and LLM integration rather than embedded systems or on-site industrial AI applications.
How can I get hired as a ai software developer in Texas with little or no experience?
The most realistic entry path is completing a structured graduate program or project-based certificate and targeting associate or junior machine learning engineer roles at large Texas employers. Companies such as Dell Technologies and major Texas health systems run new-graduate rotational and early-career engineering programs that explicitly hire candidates without professional AI experience. Lateral moves from data analyst, backend software developer, or research assistant roles are common entry points, and a public GitHub portfolio showing model training, fine-tuning, or deployment work gives candidates a clear edge over those with degrees alone.
Where can I find and apply to ai software developer jobs in Texas?
You can find and apply to ai software developer jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the available roles, find the ones that match your experience and target area, and apply directly to the employers posting them.
See All 122+ AI Software Developer Jobs in Texas
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