AI Product Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for AI product engineer hiring, with major tech employers in Austin, Dallas, and Houston driving consistent demand. Companies like Dell Technologies, Texas Instruments, Google, Amazon, and a growing number of AI-focused startups regularly hire for these roles and have established visa sponsorship programs.
Find AI Product Engineer JobsOverview
Showing 5 of 1,741+ AI Product Engineer Jobs in Texas with Visa Sponsorship










See all 1,741+ AI Product Engineer Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs in Texas with Visa Sponsorship.
Get Access To All Jobs
Become a part of our caring community
As Humana continues its transformation into an AI-first enterprise, we are looking for a hands-on, technically proficient Lead Product Manager to lead the design, prototyping, and scaling of AI solutions across our business. You will work with cross-functional teams of engineers, designers, data scientists, and business stakeholders to build AI-powered solutions that solve real enterprise problems. You will lead and drive a complex product area within our AI portfolio, define what success looks like, build and develop with the team, and drive results across the organization, moving from deeply understanding a business challenge to prototyping an AI solution, to proving its value, to delivering it through Humana's enterprise AI governance process.
What you will own
- Strategy and roadmap: Define the vision, strategy, and roadmap for a complex AI product area. Decide what to build and why, prioritize across competing opportunities, and adapt as the model landscape and the business change.
- Business discovery: Partner directly with business units to map their operations end to end (service design), then translate ambiguous business problems into clearly scoped AI use cases with a clear value proposition, business case, and ROI justification.
- Hands-on prototyping: Build working prototypes and demos yourself using agentic coding and AI tools (for example, Claude Code, Cursor, OpenAI Codex) to test feasibility and value before committing a full team.
- Requirements and scoping: Turn validated use cases into clear, buildable requirements, user stories, acceptance criteria, edge cases, and success metrics, so engineers, data scientists, and designers know exactly what "done" and "good" mean. Shape the end-to-end user experience with design, since enterprise adoption lives or dies on usability.
- Delivery and execution: Drive the build from prototype to production and own the backlog, sequence the work, make scope and tradeoff calls as models and constraints shift, unblock the team, and keep momentum from first demo through launch and iteration.
- Evaluation and quality: Own how quality is defined and measured. Build golden sets and ground truth, run offline and live (production) evals, choose appropriate metrics (accuracy, precision, recall, F1, task success, hallucination rate), apply LLM-as-judge where it has been validated, and turn results into launch decisions and readouts for leadership.
- Support Solution architecture: Support high-level architecture and feasibility discussions with engineering, while owning the required prompt engineering and/or skill creation components of the AI harness.
- Cross-functional leadership: Lead engineers, data scientists, designers, and business partners without direct authority. Author reusable playbooks, skills, and solution patterns that make AI delivery faster and more consistent across the organization.
- Governed delivery: Move solutions through Humana's enterprise AI governance (AIRB, LRC, Responsible AI Council), owning the product documentation, scorecards, and stage-gate reviews.
- Communication and mentorship: Communicate strategy, requirements, roadmap, ROI, and eval results clearly to executive and technical audiences. Mentor product managers and raise the team's standard for building with AI.
- Staying current: Track advances in models, agents, evals, and emerging techniques (agent harness, loop, and graph / GraphRAG approaches) and apply them in your portfolio.
Use your skills to make an impact
Required Qualifications
- B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
- 7+ years of product or related experience, including 4+ years in product management, with AI/ML or GenAI products shipped to production.
- Hands-on building: You use AI tools regularly and can articulate specifically what you would change about a model's behavior and why. You prototype your own ideas.
- Evaluation experience: You have built evals, including golden sets, ground truth, and offline and live evals, and used precision- and recall-based metrics to make product decisions.
- Systems thinking: When you find a problem, you build the infrastructure that prevents the whole class of problem.
- Communication across domains: You move between business and technical concepts, with a track record of business cases, ROI models, and roadmaps that inform investment decisions.
- AI knowledge: A working understanding of modern AI/ML and GenAI (LLMs, agents, RAG, prompt engineering, and Evaluation methodology) and how it applies to enterprise problems.
Preferred Qualifications
- Experience in healthcare, insurance, or another regulated industry.
- A well-supported point of view on where agentic AI, evals, and AI-native product development are headed.
- Hands-on experience with agent frameworks, GraphRAG / knowledge graphs, and reusable skills / plugins.
- Comfort with ambiguity and a fast pace, working from first principles.
Additional Information
All AI solutions must comply with Humana’s Enterprise AI Governance Framework and undergo full review at designated stage gates.
Work Style: This position follows a hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets listed below.
Office Location Options:
- Louisville, KY
- Chicago, IL
- New York, NY
- Dallas, TX
- Boston, MA
- Washington, DC
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$151,600 - $208,400 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
AI Product Engineer Job Roles in Texas
See all 1,741+ AI Product Engineer Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI Product Engineer Jobs in TexasAI Product Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Texas?
Several large employers in Texas have consistent track records of sponsoring work visas for AI product 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 established corporations, Austin's growing AI startup ecosystem has added more sponsoring employers in recent years, particularly in machine learning infrastructure and enterprise AI tooling.
Which visa types are most common for AI product engineer roles in Texas?
The H-1B visa is the most common visa category for AI product engineers in Texas, as the role typically requires a bachelor's degree or higher in computer science, engineering, or a related field, meeting the specialty occupation standard. Some candidates with extraordinary ability in AI research may qualify for the O-1A. Candidates from Australia may be eligible for the E-3 visa, and Canadian and Mexican nationals should look into the TN visa under the engineer category.
Which cities in Texas have the most AI product engineer sponsorship jobs?
Austin concentrates the highest number of AI product engineer sponsorship opportunities in Texas, driven by the presence of major tech campuses and a dense startup ecosystem. Dallas-Fort Worth follows closely, with strong demand from financial services, telecommunications, and enterprise software companies. Houston offers opportunities primarily through energy-tech and healthcare AI employers. San Antonio has a smaller but growing footprint tied to cybersecurity and defense-adjacent AI work.
How to find ai product engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for roles with active visa sponsorship, so you can search for AI product engineer positions in Texas without sifting through postings that don't support international candidates. The platform surfaces roles from employers with verified sponsorship history, which is particularly useful in a large state like Texas where the hiring market spans multiple cities and industries. Filtering by role and location on Migrate Mate saves significant time in the job search process.
Are there state-specific factors that affect visa sponsorship for AI product engineers in Texas?
Texas has no state income tax, which affects prevailing wage calculations and total compensation benchmarks used in H-1B Labor Condition Applications. The Department of Labor sets prevailing wages by metropolitan statistical area, so wage requirements differ between Austin, Dallas, and Houston. Texas also has strong university pipelines through UT Austin, Texas A&M, and Rice University, which means employers in the state are generally familiar with OPT and STEM OPT transitions into sponsored roles.
What is the prevailing wage for sponsored ai product 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.