Lead AI Engineer Visa Sponsorship Jobs in Texas
Lead AI engineer roles in Texas are concentrated in Austin's tech corridor, Dallas-Fort Worth's enterprise technology sector, and Houston's energy-tech companies. Major employers including Dell Technologies, AT&T, and a growing field of AI-focused startups actively sponsor international talent for senior machine learning and AI engineering positions 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
- Bachelor's degree in Engineering, Data Science, or related field.
- 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.
- Advanced degree in Engineering, Data Science, or related field.
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
- Bachelor's degree in Engineering, Data Science, or related field.
- 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.
- Advanced degree in Engineering, Data Science, or related field.
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.
Lead AI Engineer Job Roles in Texas
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Search Lead AI Engineer Jobs in TexasLead AI Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for lead AI engineers in Texas?
Texas-based companies with active visa sponsorship histories for AI engineering roles include Dell Technologies, Texas Instruments, AT&T, NTT Data, and a range of Austin-based AI startups. Larger enterprise employers in Dallas-Fort Worth, such as American Airlines and ExxonMobil's technology divisions, also file sponsorship petitions for senior AI and machine learning engineering positions.
Which visa types realistically fit lead AI engineer roles in Texas?
Lead AI engineer roles typically qualify as specialty occupations requiring a directly related bachelor's degree or higher, making the H-1B visa the most common path. Canadian and Mexican nationals may qualify under the TN visa as engineers. The H-1B1 visa applies to Singaporean and Chilean nationals. E-3 visa applies to Australian nationals. Qualified candidates with advanced degrees may also pursue EB-2 or EB-3 green card sponsorship.
Which cities in Texas have the most lead AI engineer sponsorship jobs?
Austin leads Texas for lead AI engineer sponsorship activity, driven by its dense concentration of tech companies and startups. Dallas-Fort Worth follows closely, with enterprise technology firms and financial services companies sponsoring senior AI roles. Houston contributes sponsorship activity through energy-sector technology divisions. San Antonio has a smaller but growing presence through cybersecurity and defense-adjacent AI employers.
How to find lead ai engineer visa sponsorship jobs in Texas?
Migrate Mate lists Texas employers with verified visa sponsorship histories for lead AI engineer roles, letting you search specifically by role and city without sifting through unverified listings. Because AI engineering positions at the lead level almost always require demonstrated sponsorship capability, focusing on employers with confirmed LCA filing history in Texas gives you a materially more targeted job search than general postings.
Are there state-specific factors that affect visa sponsorship for lead AI engineers in Texas?
Texas has no state income tax, which affects compensation benchmarking and prevailing wage considerations for LCA filings. Austin's university pipeline, particularly from UT Austin's computer science and AI programs, creates competition for roles but also signals employer familiarity with international talent. Texas's large employer base across energy, defense, and technology sectors means sponsorship activity is spread across multiple industries, not just pure-play tech.
What is the prevailing wage for sponsored lead 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.