AI Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for AI engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Companies like Dell Technologies, Texas Instruments, AT&T, and a growing number of AI-focused startups and hyperscalers operate here, creating consistent demand for international AI engineering talent.
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Get Access To All JobsRole: Agentic AI Engineer
Location: Sunnyvale, CA/Austin, TX/Raleigh NC
Type: Contract
JD:
- agentic data engineering
- Good understanding of FinOps and tooling, and is an expert in distributed systems
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
- Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
- 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.
- Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
- Expertise in SQL and Python to transform data into accurate, clean data models.
- Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
- A bias for action and urgency, not letting perfect be the enemy of the effective.
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Key Responsibilities
- Prompt Engineering Excellence: Design, test, and optimize system prompts and feature-specific prompts that shape Claude’s behavior across consumer and API products.
- Evaluation Development: Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.
- Cross-functional Collaboration: Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.
- Model Launch Support: Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.
- Infrastructure Contribution: Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.
- Knowledge Transfer: Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.
- Rapid Iteration: Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.
Required Qualifications
- 5+ years of software engineering experience with Python or similar languages.
- Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).
- Strong understanding of evaluation methodologies and metrics for AI systems.
- Excellent written and verbal communication skills – you’ll need to explain complex model behaviors to diverse stakeholders.
- Ability to manage multiple concurrent projects and prioritize effectively.
- Experience with version control, CI/CD, and modern software development practices.
Preferred Qualifications
- Experience with Claude or other frontier AI models in production settings.
- Background in machine learning, NLP, or related fields.
- Experience with A/B testing and experimentation frameworks (e.g., Statsig).
- Familiarity with AI safety and alignment considerations.
- Experience building tools and infrastructure for ML/AI workflows.
- Track record of improving AI system performance through systematic evaluation and iteration.
Role: Agentic AI Engineer
Location: Sunnyvale, CA/Austin, TX/Raleigh NC
Type: Contract
JD:
- agentic data engineering
- Good understanding of FinOps and tooling, and is an expert in distributed systems
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
- Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
- 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.
- Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
- Expertise in SQL and Python to transform data into accurate, clean data models.
- Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
- A bias for action and urgency, not letting perfect be the enemy of the effective.
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Key Responsibilities
- Prompt Engineering Excellence: Design, test, and optimize system prompts and feature-specific prompts that shape Claude’s behavior across consumer and API products.
- Evaluation Development: Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.
- Cross-functional Collaboration: Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.
- Model Launch Support: Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.
- Infrastructure Contribution: Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.
- Knowledge Transfer: Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.
- Rapid Iteration: Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.
Required Qualifications
- 5+ years of software engineering experience with Python or similar languages.
- Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).
- Strong understanding of evaluation methodologies and metrics for AI systems.
- Excellent written and verbal communication skills – you’ll need to explain complex model behaviors to diverse stakeholders.
- Ability to manage multiple concurrent projects and prioritize effectively.
- Experience with version control, CI/CD, and modern software development practices.
Preferred Qualifications
- Experience with Claude or other frontier AI models in production settings.
- Background in machine learning, NLP, or related fields.
- Experience with A/B testing and experimentation frameworks (e.g., Statsig).
- Familiarity with AI safety and alignment considerations.
- Experience building tools and infrastructure for ML/AI workflows.
- Track record of improving AI system performance through systematic evaluation and iteration.
AI Engineer Job Roles in Texas
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Search AI Engineer Jobs in TexasAI Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Texas?
Several large employers in Texas have established track records of sponsoring work visas for AI engineers. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and Goldman Sachs in Dallas, and ExxonMobil and Hewlett Packard Enterprise in Houston. Beyond these, a significant number of AI-focused startups and cloud infrastructure companies across the state regularly file H-1B visa petitions for AI and machine learning roles.
Which visa types are most common for AI engineer roles in Texas?
The H-1B is the most common visa category for AI engineers in Texas, given that AI engineering consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates from Australia may qualify for the E-3 visa, while Canadian and Mexican nationals often use TN visa status. Those with exceptional research or publication records sometimes pursue the O-1A.
Which cities in Texas have the most AI engineer sponsorship jobs?
Austin leads Texas for AI engineer sponsorship activity, anchored by a dense concentration of tech companies, semiconductor firms, and AI-focused startups. Dallas-Fort Worth is a close second, with major financial services, telecom, and enterprise software employers. Houston has a growing presence driven by energy-tech and healthcare AI applications. San Antonio also sees activity tied to cybersecurity and defense contractors with AI engineering needs.
How to find ai engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse AI engineer roles in Texas without sifting through positions that won't support international candidates. You can narrow results by city, visa type, and employer. Given the volume of AI engineering roles across Austin, Dallas, and Houston, Migrate Mate is a practical starting point for identifying which Texas employers are actively hiring and sponsoring.
Are there any Texas-specific factors AI engineers should know about when pursuing visa sponsorship?
Texas has no state income tax, which affects how employers benchmark total compensation relative to DOL prevailing wage requirements for H-1B filings. The state's large university system, including UT Austin and Texas A&M, generates a significant domestic AI talent pipeline, meaning sponsored roles tend to require demonstrable specialization in areas like large language models, computer vision, or MLOps rather than general software engineering skills. Competition for sponsorship slots is concentrated in Austin and Dallas.
What is the prevailing wage for sponsored ai 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.