Senior AI Software Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's senior AI software engineer hiring is anchored in Nashville, Memphis, and the Research Triangle-adjacent corridors around Knoxville and Oak Ridge. Major employers including HCA Healthcare, Nissan North America, and AllianceBernstein actively hire senior AI engineers, with sponsorship most common through H-1B visa and O-1 visas for specialized machine learning and NLP roles.
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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.
Senior AI Software Engineer Job Roles in Tennessee
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Search Senior AI Software Engineer Jobs in TennesseeSenior AI Software Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in Tennessee?
HCA Healthcare in Nashville is among the most active sponsors for senior AI engineers, building machine learning systems for clinical operations and patient data. AllianceBernstein sponsors for quantitative AI roles, and Nissan North America hires senior AI engineers for manufacturing automation in Smyrna. Technology consultancies and defense contractors near Oak Ridge National Laboratory also file H-1B petitions for senior AI positions with some regularity.
Which visa types are most common for senior AI software engineer roles in Tennessee?
The H-1B is the most common visa for senior AI software engineers in Tennessee, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates with exceptional recognition in the AI field may qualify for the O-1A. Australians working in senior AI roles have access to the E-3 visa, which follows a similar employer-sponsored process without a lottery.
Which cities in Tennessee have the most senior AI software engineer sponsorship jobs?
Nashville concentrates the largest share of senior AI software engineer sponsorship activity, driven by healthcare technology, fintech, and enterprise software employers. Knoxville and the Oak Ridge area attract senior AI engineers through national laboratory partnerships and university-adjacent startups tied to the University of Tennessee. Memphis has a smaller but growing cluster in logistics AI and supply chain optimization, particularly among companies connected to the regional distribution industry.
How to find senior ai software engineer visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior AI software engineer openings in Tennessee without sifting through roles that don't support international candidates. You can filter by state and role to surface employers actively filing H-1B or other sponsorship petitions for AI positions. This is more efficient than general job searches, which rarely surface sponsorship status upfront.
Are there state-specific considerations for senior AI software engineers pursuing visa sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects prevailing wage comparisons that employers must meet under Department of Labor requirements for H-1B petitions. The state's strong presence in healthcare AI, automotive manufacturing, and defense technology means senior AI engineers should expect domain-specific role requirements, particularly around HIPAA-compliant systems or controlled research environments near federal facilities like Oak Ridge National Laboratory.
What is the prevailing wage for sponsored senior ai software engineer jobs in Tennessee?
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.