AI ML Engineer Visa Sponsorship Jobs in Texas
Texas is one of the top states for AI/ML engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, AT&T, Amazon, and a growing number of AI-focused startups and energy-sector firms actively hire and sponsor international candidates for these roles.
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INTRODUCTION
Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.
The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.
JOB PURPOSE & SCOPE
Leads the development of scalable artificial intelligence (AI) systems, focusing on prompt tuning, retrieval-augmented generation (RAG) pipelines, and microservices architecture to advance Bank OZK’s enterprise AI initiatives. Collaborates across teams to deliver production-ready AI applications that drive innovation, operational efficiency, and enhanced customer experiences.
ESSENTIAL JOB FUNCTIONS:
- Designs and optimizes prompts for Gen AI and Agentic models/systems, large language models (LLMs) such as GPT, LLaMA, Mistral, and Gemini to achieve business-focused outcomes.
- Develops and maintains retrieval-augmented generation (RAG) pipelines and agentic workflows using tools like LangGraph, AutoGen, Milvus, Pinecone, or Weaviate.
- Builds cloud-native, scalable microservices to support AI applications in production environments.
- Implements AI-powered applications using Python and Java, ensuring robust and maintainable codebases.
- Supports data ingestion, preprocessing, and feature engineering to enable effective model training and deployment.
- Assists in the deployment, monitoring, versioning, and scaling of AI systems on cloud platforms.
- Collaborates with senior engineers, product managers, and research scientists to deliver enterprise-grade AI solutions.
- Monitors advancements in AI/ML research and tools to inform ongoing development and strategic direction.
- Performs other duties as assigned.
KNOWLEDGE, SKILLS & ABILITIES:
- General knowledge of model fine-tuning and optimization techniques.
- General knowledge of distributed systems and microservices architecture beyond AI applications.
- General knowledge of machine learning fundamentals.
- Strong problem-solving skills and ability to translate business challenges into technical solutions.
- Effective collaboration and communication skills across cross-functional teams.
- Proficient skill with agentic AI orchestration tools such as LangGraph, AutoGen, and Camunda.
- Strong organizational, critical thinking, and time management skills.
- Proficient skill in Python and Java for AI application development.
- Strong skills in LLMs, NLP, and GenAI applications.
- Skill with cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes).
- Skill with databases including SQL, NoSQL, and vector databases.
- Ability to maintain confidentiality and exercise discretion and sound judgment in technical decision-making.
- Ability to work under minimal supervision.
- Ability to manage multiple projects or assignments and demonstrate flexibility in a continually changing environment.
- Ability to build scalable microservices and RAG systems.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field, or commensurate work experience required.
- 4+ years of experience in AI/ML engineering or applied AI system development, required.
JOB EXPECTATIONS:
Operate customary equipment and technology used in a business environment, with or without accommodation.
Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.
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OZK
EEO STATEMENT:
Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.
AI ML Engineer Job Roles in Texas
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Search AI ML Engineer Jobs in TexasAI ML Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Texas?
Large employers with established sponsorship track records in Texas include Dell Technologies, AT&T, Amazon, Google, IBM, and Texas Instruments. Austin's expanding tech scene also includes companies like Apple and Oracle with significant local engineering teams. In Houston, energy and industrial firms increasingly hire AI/ML engineers for data and automation work, adding to the overall pool of sponsoring employers.
Which cities in Texas have the most AI/ML engineer sponsorship jobs?
Austin concentrates the highest volume of AI/ML engineer sponsorship roles, anchored by a dense tech ecosystem and proximity to UT Austin's graduate programs. Dallas-Fort Worth is a strong second, with a large enterprise and financial technology presence. Houston contributes meaningfully through energy, health tech, and aerospace employers. San Antonio has a growing cybersecurity and defense-adjacent AI sector worth monitoring.
How to find ai ml engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for roles where employers have demonstrated visa sponsorship willingness, saving you from applying to positions that won't support international candidates. For AI/ML engineer roles in Texas, you can filter by state and role category on Migrate Mate to surface relevant openings across Austin, Dallas, and Houston without sifting through listings that exclude sponsored candidates.
Which visa types are most common for AI/ML engineer roles in Texas?
The H-1B visa is the most common visa category for AI/ML engineers in Texas, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. O-1A visas are an option for candidates with documented exceptional ability. Candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B visa sponsorship through Texas-based employers.
Are there any Texas-specific considerations for AI/ML engineer visa sponsorship?
Texas has no state income tax, which affects prevailing wage benchmarking since the Department of Labor's wage determinations reflect local market conditions rather than national averages. Austin's rapid growth has pushed local wage levels higher, which can increase the prevailing wage threshold employers must meet for LCA filings. University pipelines from UT Austin, Texas A&M, and Rice University also contribute a large international graduate talent pool that many Texas employers actively recruit from.
What is the prevailing wage for sponsored ai ml engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.