AI ML Engineering Green Card Jobs
AI ML Engineering roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled practitioners. Employers file a PERM labor certification with DOL before petitioning USCIS, locking in your priority date and building toward permanent residency rather than a temporary visa tied to annual renewals.
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Get Access To All JobsINTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of engineers and data scientists specializing in generative AI, machine learning, and cloud-based solutions
- Develop and execute a strategic roadmap for GenAI-driven initiatives aligned with PBM business goals
- Oversee the architecture, development, and integration of GenAI models into PBM workflows such as prior authorization, formulary management, medication adherence, and claims processing
- Collaborate cross-functionally with Product, Clinical, Data, and Compliance teams to identify high-impact AI use cases
- Ensure compliance with HIPAA, HITECH, and other relevant healthcare regulations in all engineering practices and solutions
- Establish best practices for model governance, data privacy, security, and responsible AI use
- Evaluate and select appropriate GenAI technologies, frameworks, and vendors
- Stay abreast of developments in generative AI, healthcare technology, and regulatory changes
- Monitor performance and ROI of GenAI solutions, driving continuous improvement
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
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 or Master's degree in Computer Science, Engineering, Data Science, or related field
- 10+ years of engineering experience, including 3+ years leading AI/ML teams (preferably with GenAI project experience)
- 5+ years of experience with cloud platforms (AWS, Azure, GCP), MLOps, and modern engineering practices
- 5+ years of experience with Python, TensorFlow/PyTorch, and relevant GenAI libraries
- 2+ years of experience and success deploying generative AI models (e.g., LLMs, foundation models) in production environments for over at least three projects
- 1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH)
PREFERRED QUALIFICATIONS:
- Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows
- Proven excellent leadership, communication, and stakeholder management skills
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $134,600 to $230,800 annually based on full-time employment
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.
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 Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of engineers and data scientists specializing in generative AI, machine learning, and cloud-based solutions
- Develop and execute a strategic roadmap for GenAI-driven initiatives aligned with PBM business goals
- Oversee the architecture, development, and integration of GenAI models into PBM workflows such as prior authorization, formulary management, medication adherence, and claims processing
- Collaborate cross-functionally with Product, Clinical, Data, and Compliance teams to identify high-impact AI use cases
- Ensure compliance with HIPAA, HITECH, and other relevant healthcare regulations in all engineering practices and solutions
- Establish best practices for model governance, data privacy, security, and responsible AI use
- Evaluate and select appropriate GenAI technologies, frameworks, and vendors
- Stay abreast of developments in generative AI, healthcare technology, and regulatory changes
- Monitor performance and ROI of GenAI solutions, driving continuous improvement
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
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 or Master's degree in Computer Science, Engineering, Data Science, or related field
- 10+ years of engineering experience, including 3+ years leading AI/ML teams (preferably with GenAI project experience)
- 5+ years of experience with cloud platforms (AWS, Azure, GCP), MLOps, and modern engineering practices
- 5+ years of experience with Python, TensorFlow/PyTorch, and relevant GenAI libraries
- 2+ years of experience and success deploying generative AI models (e.g., LLMs, foundation models) in production environments for over at least three projects
- 1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH)
PREFERRED QUALIFICATIONS:
- Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows
- Proven excellent leadership, communication, and stakeholder management skills
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $134,600 to $230,800 annually based on full-time employment
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.
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.
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Engineering
Document your ML credentials before applying
PERM requires proving your qualifications match the job's minimum requirements exactly. Gather transcripts, publications, patents, and employer letters that map your ML experience to the specific SOC code your role will be filed under.
Check if your role qualifies for EB-2
AI ML Engineering positions frequently require a master's degree or its equivalent in computer science or a related field. Confirm your employer intends to file under EB-2 before accepting an offer, since EB-2 priority dates move faster for most nationalities.
Target employers with active PERM filing history
Use Migrate Mate to filter AI ML Engineering roles by employers who have actively filed PERM labor certifications, so you spend your time on companies that already sponsor green cards rather than those still figuring out the process.
Verify your employer uses E-Verify before signing
DOL requires PERM employers to post job notices and complete a good-faith recruitment process. E-Verify enrollment signals the employer has the HR infrastructure to handle sponsored hires, which reduces the risk of a PERM audit derailing your timeline.
Use OFLC Wage Search to negotiate your offer
PERM locks your offered wage at or above the DOL prevailing wage for your SOC code and location. Run the OFLC Wage Search before negotiating so you know the floor, and confirm your offer letter reflects that certified wage level.
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Find AI ML Engineering JobsAI ML Engineering Green Card Sponsorship: Frequently Asked Questions
Does an AI ML Engineering role typically qualify as a specialty occupation for green card purposes?
Yes. AI ML Engineering positions routinely require at minimum a bachelor's degree in computer science, mathematics, or a closely related field, which meets USCIS's specialty occupation standard. Roles involving model architecture, training pipelines, or ML infrastructure typically satisfy EB-2 requirements when the employer mandates an advanced degree, and EB-3 when a bachelor's degree is the minimum requirement.
How does PERM green card sponsorship differ from H-1B for AI ML professionals?
H-1B is a temporary work visa with a three-year initial period, an annual lottery, and no guaranteed path to permanency. PERM green card sponsorship is a multi-step permanent residency process starting with DOL labor certification, followed by an I-140 immigrant petition, and then adjustment of status or consular processing. There is no lottery at the EB-2 or EB-3 level, though nationals of India and China face priority-date backlogs that can extend timelines significantly.
Which EB category is more common for AI ML Engineering roles, EB-2 or EB-3?
EB-2 is more common for senior and research-focused AI ML roles where the employer genuinely requires an advanced degree. EB-3 covers roles where a bachelor's degree is the stated minimum. Your employer's immigration counsel will determine the category based on the actual job duties and minimum requirements set before PERM recruitment begins, not on your personal credentials.
How can I find AI ML Engineering jobs where the employer already sponsors green cards?
Migrate Mate lets you search AI ML Engineering roles specifically filtered by employers with active PERM and I-140 filing history, so you can identify companies that have already navigated the sponsorship process. This is more reliable than asking recruiters upfront, since many hiring managers don't know their own company's PERM history until HR confirms it.
What happens to my green card case if I change employers during the PERM process?
Changing employers before your I-140 is approved restarts the PERM process entirely. Once your I-140 has been approved for at least 180 days, AC21 portability lets you move to a new employer in a same or similar occupational classification without losing your priority date. For AI ML professionals, this typically means staying within SOC codes covering software development or computer and information research science roles.
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