Software Engineer AI Visa Sponsorship Jobs in Texas
Texas is one of the top states for software engineer AI visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, Oracle, Samsung Austin Semiconductor, and a dense cluster of AI startups actively sponsor H-1B visa and other work visas for AI engineering roles across the state.
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We're seeking a Lead AI Software Engineer to help build the next generation of AI-powered products and platforms. This is a hands-on technical leadership role focused on designing, developing, and scaling production-grade AI solutions that deliver real business impact.
You will work closely with engineers, data scientists, product leaders, and architects to turn innovative ideas into real-world applications using modern AI technologies, including large language models (LLMs), intelligent automation, and cloud-native architectures. If you're passionate about building, mentoring, and solving complex engineering challenges, this is an opportunity to help shape the future of Applied AI.
While this role provides mentorship and technical leadership to a talented group of engineers and data scientists, it remains strongly anchored in design, development, and execution within a fast-moving, enterprise-scale environment.
Responsibilities
Technical Leadership & Architecture
- Serve as the technical lead for strategic AI initiatives, driving architecture, design decisions, and engineering excellence.
- Design and build scalable, secure, cloud-native AI platforms and services.
- Architect solutions leveraging generative AI, large language models, intelligent document processing, and data-driven applications.
- Lead design reviews, code reviews, and technical planning efforts.
- Establish engineering standards, reusable frameworks, and best practices that enable teams to deliver at scale.
- Provide technical guidance across the full software development lifecycle.
AI Solution Development
- Build end-to-end AI solutions, including APIs, microservices, data pipelines, orchestration layers, and evaluation frameworks.
- Develop production-grade applications integrating AI and machine learning capabilities.
- Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable, observable, and cost-efficient.
- Drive technical execution from concept through production deployment in an agile delivery environment.
- Evaluate and adopt emerging AI technologies to accelerate innovation and business value.
Mentorship & Team Leadership
- Mentor and develop software engineers and data scientists through technical coaching and hands-on collaboration.
- Promote best practices in software engineering, AI development, cloud architecture, and operational excellence.
- Foster a culture of innovation, accountability, continuous learning, and high-quality execution.
- Help teams balance rapid delivery with long-term maintainability and technical excellence.
AI Governance & Operational Excellence
- Implement evaluation, testing, and validation frameworks for AI-powered applications.
- Support monitoring, performance optimization, and incident response for AI systems in production.
- Drive responsible AI practices focused on reliability, security, compliance, and risk management.
- Ensure AI solutions meet enterprise standards for scalability, operational readiness, and governance.
Use your skills to make an impact
Required Qualifications
- 8+ years of software engineering experience with demonstrated technical leadership.
- Proven experience building and delivering large-scale, production-grade software platforms.
- Strong backend development expertise with Python, Java, or similar languages.
- Experience designing distributed systems and cloud-native applications.
- Demonstrated ability to lead technical initiatives from architecture through deployment.
- Experience working in agile environments with frequent delivery and iteration.
Preferred Qualifications
- Hands-on experience building and deploying AI, machine learning, or generative AI solutions in production.
- Experience with Large Language Models (LLMs) and modern AI application architectures.
- Knowledge of AI orchestration frameworks, agent-based systems, and model-serving platforms.
- Experience with GCP, AWS, or Azure cloud platforms.
- Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document processing.
- Background in data engineering, data science, or MLOps.
- Experience building APIs, microservices, and event-driven architectures.
- Experience operating within complex or highly regulated enterprise environments.
- Strong communication and stakeholder management skills.
Additional Information
Location & Work Style
This is a hybrid role based in one of our technology hub locations: Louisville, KY; Nashville, TN; Tampa, FL; Fort Lauderdale, FL; or Dallas, TX. Team members are expected to work onsite several days per week to collaborate with engineering, product, and business partners while maintaining flexibility to work remotely.
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.
$129,300 - $177,800 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.
Become a part of our caring community
We're seeking a Lead AI Software Engineer to help build the next generation of AI-powered products and platforms. This is a hands-on technical leadership role focused on designing, developing, and scaling production-grade AI solutions that deliver real business impact.
You will work closely with engineers, data scientists, product leaders, and architects to turn innovative ideas into real-world applications using modern AI technologies, including large language models (LLMs), intelligent automation, and cloud-native architectures. If you're passionate about building, mentoring, and solving complex engineering challenges, this is an opportunity to help shape the future of Applied AI.
While this role provides mentorship and technical leadership to a talented group of engineers and data scientists, it remains strongly anchored in design, development, and execution within a fast-moving, enterprise-scale environment.
Responsibilities
Technical Leadership & Architecture
- Serve as the technical lead for strategic AI initiatives, driving architecture, design decisions, and engineering excellence.
- Design and build scalable, secure, cloud-native AI platforms and services.
- Architect solutions leveraging generative AI, large language models, intelligent document processing, and data-driven applications.
- Lead design reviews, code reviews, and technical planning efforts.
- Establish engineering standards, reusable frameworks, and best practices that enable teams to deliver at scale.
- Provide technical guidance across the full software development lifecycle.
AI Solution Development
- Build end-to-end AI solutions, including APIs, microservices, data pipelines, orchestration layers, and evaluation frameworks.
- Develop production-grade applications integrating AI and machine learning capabilities.
- Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable, observable, and cost-efficient.
- Drive technical execution from concept through production deployment in an agile delivery environment.
- Evaluate and adopt emerging AI technologies to accelerate innovation and business value.
Mentorship & Team Leadership
- Mentor and develop software engineers and data scientists through technical coaching and hands-on collaboration.
- Promote best practices in software engineering, AI development, cloud architecture, and operational excellence.
- Foster a culture of innovation, accountability, continuous learning, and high-quality execution.
- Help teams balance rapid delivery with long-term maintainability and technical excellence.
AI Governance & Operational Excellence
- Implement evaluation, testing, and validation frameworks for AI-powered applications.
- Support monitoring, performance optimization, and incident response for AI systems in production.
- Drive responsible AI practices focused on reliability, security, compliance, and risk management.
- Ensure AI solutions meet enterprise standards for scalability, operational readiness, and governance.
Use your skills to make an impact
Required Qualifications
- 8+ years of software engineering experience with demonstrated technical leadership.
- Proven experience building and delivering large-scale, production-grade software platforms.
- Strong backend development expertise with Python, Java, or similar languages.
- Experience designing distributed systems and cloud-native applications.
- Demonstrated ability to lead technical initiatives from architecture through deployment.
- Experience working in agile environments with frequent delivery and iteration.
Preferred Qualifications
- Hands-on experience building and deploying AI, machine learning, or generative AI solutions in production.
- Experience with Large Language Models (LLMs) and modern AI application architectures.
- Knowledge of AI orchestration frameworks, agent-based systems, and model-serving platforms.
- Experience with GCP, AWS, or Azure cloud platforms.
- Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document processing.
- Background in data engineering, data science, or MLOps.
- Experience building APIs, microservices, and event-driven architectures.
- Experience operating within complex or highly regulated enterprise environments.
- Strong communication and stakeholder management skills.
Additional Information
Location & Work Style
This is a hybrid role based in one of our technology hub locations: Louisville, KY; Nashville, TN; Tampa, FL; Fort Lauderdale, FL; or Dallas, TX. Team members are expected to work onsite several days per week to collaborate with engineering, product, and business partners while maintaining flexibility to work remotely.
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.
$129,300 - $177,800 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.
Software Engineer AI Job Roles in Texas
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Search Software Engineer AI Jobs in TexasSoftware Engineer AI Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for software engineers in AI roles in Texas?
Several large employers in Texas have consistent H-1B sponsorship histories for AI engineering roles. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and Texas Instruments in Dallas, and Hewlett Packard Enterprise in Houston. Beyond established corporations, Austin's growing AI startup ecosystem and the presence of Amazon and Apple offices there also generate sponsorship activity for software engineers specializing in AI and machine learning.
Which visa types are most common for software engineer AI roles in Texas?
The H-1B is by far the most common visa category for software engineers in AI roles in Texas, as the role clearly meets the specialty occupation standard requiring at least a bachelor's degree in computer science, data science, or a related field. O-1A visas appear occasionally for candidates with documented recognition in AI research. TN visas are an option for Canadian and Mexican nationals in qualifying engineering classifications, though AI-specific roles require careful documentation.
Which cities in Texas have the most software engineer AI sponsorship jobs?
Austin leads Texas for AI engineering sponsorship activity, anchored by a concentration of tech companies, AI startups, and university research pipelines from UT Austin. The Dallas-Fort Worth metro ranks second, with large employers in financial technology, telecommunications, and enterprise software regularly sponsoring H-1B workers. Houston contributes primarily through energy technology companies increasingly investing in AI, alongside a strong presence of international engineering talent supported by NASA and aerospace contractors.
How to find software engineer ai visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse software engineer AI roles in Texas without sifting through positions that don't sponsor. You can narrow results by city and role type to focus on Austin, Dallas, or Houston opportunities. Because AI engineering is a high-demand specialty in Texas, new sponsorship-eligible postings appear frequently, so checking Migrate Mate regularly gives you the most current view of the market.
Are there any Texas-specific factors that affect visa sponsorship for AI engineering roles?
Texas has no state income tax, which affects prevailing wage benchmarking indirectly since compensation structures differ from states like California or New York. Employers filing H-1B Labor Condition Applications must still meet Department of Labor prevailing wage requirements for the specific metro area, so wages benchmarked to Austin differ from those in Dallas or Houston. The UT Austin and Texas A&M pipelines also mean employers in Texas are accustomed to sponsoring recent graduates transitioning from F-1 OPT into H-1B status for AI roles.
What is the prevailing wage for sponsored software engineer ai 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.