AI ML Engineering Visa Sponsorship Jobs in Texas
Texas is one of the top states for AI and ML engineering visa sponsorship, with major hiring concentrated in Austin, Dallas, and Houston. Companies like Dell Technologies, AT&T, and a growing cluster of AI-focused startups and enterprise tech firms regularly sponsor H-1B visa and other work visas for qualified machine learning engineers and AI researchers.
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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 Engineering Job Roles in Texas
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Search AI ML Engineering Jobs in TexasAI ML Engineering Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Texas?
Several large employers in Texas have established records of sponsoring work visas for AI and ML engineering roles. Dell Technologies in Round Rock, AT&T in Dallas, Texas Instruments, and Amazon Web Services operations in the state regularly file H-1B petitions for machine learning engineers and data scientists. Austin's tech corridor also includes companies like Apple, Google, and Tesla with significant AI hiring activity in the state.
Which visa types are most common for AI ML engineering roles in Texas?
The H-1B is the most common visa for AI and ML engineering positions in Texas, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also encounter EB-2 or EB-1B pathways through employer-sponsored green card petitions. Australians working in AI roles may qualify for the E-3 visa as an alternative to the H-1B.
Which cities in Texas have the most AI ML engineering sponsorship jobs?
Austin leads Texas for AI and ML engineering sponsorship activity, driven by its concentration of tech headquarters and satellite offices. Dallas and the broader DFW metroplex follow closely, with strong demand from finance, telecom, and enterprise software companies. Houston contributes through energy tech and healthcare AI, particularly around the Texas Medical Center, which has invested heavily in machine learning research and clinical applications.
How to find ai ml engineering visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters AI and ML engineering roles in Texas by visa sponsorship availability, saving you from applying to positions that won't support work authorization. The platform aggregates openings from employers with active H-1B and other sponsorship histories across Austin, Dallas, and Houston, making it easier to target companies already familiar with the sponsorship process for technical roles.
Are there any Texas-specific considerations for AI ML engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons used in H-1B Labor Condition Applications since the DOL benchmarks wages against local market rates. Austin and Dallas metro areas have seen rapid salary growth in AI and ML roles, meaning DOL prevailing wage levels are updated regularly to reflect local conditions. Texas universities including UT Austin and Texas A&M also supply strong domestic and international graduate pipelines, making competition for sponsored roles particularly active.
What is the prevailing wage for sponsored ai ml engineering 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.