H-1B Visa AI ML Engineering Jobs
AI ML Engineering roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a directly related field. Employers filing LCAs must certify a prevailing wage, and most active sponsors have multi-year H-1B filing histories you can verify before applying.
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Get Access To All JobsINTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
- Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
- Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
- Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
- Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
- Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
- Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
- Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- Bachelor's degree or equivalent experience
- 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
- 5+ years of experience coding in Python for tool-building, model training, and data analysis
- 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
- 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
- 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
- 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
- Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
- Experience in the healthcare, clinical data, or operations domains
- Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
- Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
APPLICATION DEADLINE: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
INTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
- Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
- Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
- Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
- Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
- Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
- Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
- Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- Bachelor's degree or equivalent experience
- 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
- 5+ years of experience coding in Python for tool-building, model training, and data analysis
- 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
- 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
- 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
- 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
- Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
- Experience in the healthcare, clinical data, or operations domains
- Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
- Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
APPLICATION DEADLINE: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
See all 3,802+ H-1B Visa AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI ML Engineering Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in AI ML Engineering
Align your degree to the SOC code
USCIS adjudicators scrutinize whether your degree field directly supports an AI ML Engineering role. Check O*NET for the SOC code your employer uses, a mismatch between your major and that code is a common RFE trigger.
Verify prevailing wage before accepting offers
Run the OFLC Wage Search using the employer's job location and SOC code before you negotiate. If the offered salary falls below the Level I or II prevailing wage, the LCA won't certify and the petition stalls.
Search employers by LCA filing history on Migrate Mate
Filter AI ML Engineering roles on Migrate Mate by verified LCA filing history so you're only applying to employers with a documented track record of H-1B sponsorship, not just a careers page that says 'visa sponsorship available.'
Time your job search around the lottery window
H-1B cap registrations open in early March for an October 1 start. If you're on OPT, target offers by January so your employer has time to prepare the petition before the registration deadline closes.
Request a specialty occupation support letter early
AI ML Engineering duties can span multiple SOC codes. Ask your employer to draft a detailed specialty occupation support letter before filing, USCIS increasingly issues RFEs on AI roles where job duties read as generalist software work.
Confirm cap-exempt employer status if lottery risk is a concern
Universities, nonprofit research organizations, and government research entities are cap-exempt, meaning no lottery. If you're open to those environments, USCIS defines the cap-exempt categories clearly, and AI research roles at those institutions qualify.
H-1B Visa AI ML Engineering: Frequently Asked Questions
Do AI ML Engineering roles qualify as H-1B specialty occupations?
Yes. AI ML Engineering meets the specialty occupation standard because the role normally requires at least a bachelor's degree in computer science, mathematics, statistics, or a directly related field. USCIS evaluates the actual job duties, not just the title, so an employer's job description needs to reflect degree-level theoretical and applied work, not just tool operation or prompt engineering without a technical underpinning.
Which degree fields support an H-1B petition for an AI ML Engineering position?
Computer science, electrical engineering, mathematics, statistics, and data science are the most straightforward. Degrees in physics or operations research can also qualify if the job duties align. A degree in an unrelated field, even with extensive self-taught ML experience, creates specialty occupation problems, USCIS looks at the degree-job nexus, and a weak match is one of the most common RFE grounds for AI roles.
How do I find employers who actually sponsor H-1B visas for AI ML Engineering roles?
Migrate Mate aggregates employer LCA filing data from DOL disclosure files, so you can see which companies have filed H-1B petitions for AI and ML job titles specifically, not just general software engineering roles. This filters out employers who claim to sponsor but have no filing history, which is common in early-stage startups that haven't yet navigated the process.
What is the prevailing wage requirement for H-1B AI ML Engineering roles and who sets it?
The DOL sets prevailing wages through the OFLC Wage Search tool, which returns four wage levels for a given SOC code and geographic area. Your employer must pay at least the prevailing wage for your level to get the LCA certified. AI ML Engineering roles in major tech hubs typically fall under SOC 15-2051 (Data Scientists) or 15-1252 (Software Developers), and the wage level assigned affects both your offer negotiation and the petition's compliance.
Can I switch H-1B employers if I already work in AI ML Engineering at one company?
Yes, H-1B portability under AC21 lets you start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval, as long as your current H-1B has been approved for at least 180 days. The new employer files a new I-129 with a fresh LCA certified for that role and location. Your specialty occupation documentation carries over in concept, but the new employer must independently support the petition.