Machine Learning Visa Sponsorship Jobs in Arkansas
Arkansas's machine learning job market centers on Walmart Global Tech in Bentonville, Dillard's technology division in Little Rock, and a growing cluster of healthcare analytics and supply chain AI firms. The University of Arkansas also feeds regional demand. Employers in these sectors actively hire international candidates and have established visa sponsorship pipelines for qualified machine learning engineers and data scientists.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Machine Learning Job Roles in Arkansas
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Search Machine Learning Jobs in ArkansasMachine Learning Jobs in Arkansas: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Arkansas?
Walmart Global Tech in Bentonville is the most prominent H-1B sponsor for machine learning roles in Arkansas, regularly filing petitions for software engineers and data scientists. Dillard's technology division in Little Rock and healthcare systems such as Arkansas Children's have also sponsored international workers in data and AI-adjacent roles. Smaller retail analytics and logistics technology firms in the Northwest Arkansas corridor round out the sponsoring employer base.
Which visa types are most common for machine learning roles in Arkansas?
The H-1B is the most common visa for machine learning roles in Arkansas, as these positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT may work while an H-1B petition is filed. Individuals with extraordinary ability in AI research may also be eligible for the O-1A category.
Which cities in Arkansas have the most machine learning sponsorship jobs?
Bentonville and the broader Northwest Arkansas corridor account for the largest concentration of machine learning sponsorship jobs in the state, driven almost entirely by Walmart Global Tech's scale and its network of technology vendors. Little Rock, as the state capital and home to Dillard's and several healthcare systems, is a secondary hub. Fayetteville also sees activity connected to the University of Arkansas and affiliated research and startup activity.
How to find machine learning visa sponsorship jobs in Arkansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find machine learning roles in Arkansas without sifting through positions that don't support international candidates. You can filter by state and role type to surface active openings at companies like Walmart Global Tech and others with documented sponsorship history. Searching Migrate Mate by the Arkansas market gives you a focused shortlist rather than a broad national feed.
Are there any state-specific considerations for machine learning candidates pursuing sponsorship in Arkansas?
Arkansas does not impose state-level restrictions on employer sponsorship, so federal H-1B rules govern the process entirely. The Northwest Arkansas region has become a notable technology hub partly because of Walmart's global headquarters, which attracts a supplier and vendor ecosystem that also hires machine learning talent. The University of Arkansas produces computer science and data engineering graduates who compete for the same roles, so international candidates benefit from highlighting specialized skills in areas like NLP, computer vision, or supply chain optimization.
What is the prevailing wage for sponsored machine learning jobs in Arkansas?
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.
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