H-1B Visa AI Engineer Jobs
AI Engineer roles qualify as H-1B visa specialty occupations under the computer occupations category, typically requiring at least a bachelor's degree in computer science, machine learning, or a related field. Employers filing H-1B petitions must certify a prevailing wage through a Labor Condition Application before USCIS adjudicates your petition.
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Get Access To All JobsLocation: Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasizes technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Your key responsibilities
Hands‑on solution architecture & design:
- Design end‑to‑end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
- Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
- Define and evolve reference architectures for AI‑enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
- Author Architecture Decision Records (ADRs), sequence flows, deployment diagrams and non‑functional requirements.
AI‑accelerated build leadership:
- Work directly in codebases alongside engineers to set patterns, unblock delivery and raise technical quality.
- Leverage AI coding and testing tools to accelerate development while enforcing clean architecture, security and maintainability.
- Review AI‑generated code, tests and documentation; apply engineering judgment to validate correctness and risk.
- Guide teams on effective prompt design, context management and reuse of AI accelerators.
Non‑functional architecture & reliability:
- Define performance, scalability, resilience, observability and operability requirements up front.
- Design for reliability using SLOs/SLIs, telemetry, graceful degradation and incident readiness.
- Embed security‑by‑design, Zero Trust principles and Responsible AI controls into solution designs.
- Ensure solutions are production‑ready with runbooks, automation and clear support handoffs.
Build‑to‑run ownership (Managed Services):
- Architect solutions that transition cleanly into long‑term managed operations.
- Design CI/CD pipelines, environment strategies and release automation with operational simplicity in mind.
- Balance speed of delivery with sustainability, cost transparency and service SLAs.
Client collaboration & technical leadership:
- Lead technical workshops and whiteboarding sessions with client architects and engineers.
- Explain architectural tradeoffs clearly to technical and semi‑technical stakeholders.
- Support solutioning and proposals primarily through architecture design, estimates and delivery approaches.
Skills and attributes for success
- Strong hands‑on background in software engineering and modern application architectures.
- Deep understanding of cloud‑native design, APIs, integration patterns and data architectures.
- Practical experience building AI‑enabled features (prompting, RAG, embeddings, evaluation).
- Comfort working directly in code, infrastructure and pipelines—not just producing diagrams.
- Clear technical communication and a bias toward building to learn.
Ideally, you’ll also have
- Experience with Azure (preferred), AWS or GCP and containerized platforms.
- Exposure to observability stacks, SRE concepts and incident response.
- Experience architecting in regulated environments with privacy, security or model‑risk considerations.
- Relevant cloud, security or architecture certifications (a plus, not required).
Qualifications
- Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
- Typically 8+ years in engineering and solution architecture roles, with recent hands‑on delivery responsibility.
- Prior consulting or complex product delivery experience strongly preferred.
What we look for
We look for architects who lead by building. You combine strong engineering fundamentals with modern AI‑enabled delivery techniques, stay close to the code, and help teams move faster without sacrificing trust, quality or security.
What we offer you
- Hands‑on ownership of complex, AI‑forward digital products and platforms.
- Access to modern engineering stacks, AI tooling and global Digital Engineering expertise.
- Continuous learning, certification support and opportunities to shape reusable EY assets.
- Flexible work arrangements within a collaborative, inclusive culture.
Responsible use of AI tools (non‑negotiable)
- Follow EY and client policies for data protection, privacy and confidentiality.
- Ensure all AI‑enabled components are evaluated, monitored and governed.
- Maintain human accountability for architecture decisions and production readiness.
What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
-
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $139,100 to $254,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $166,900 to $289,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
-
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
-
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasizes technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Your key responsibilities
Hands‑on solution architecture & design:
- Design end‑to‑end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
- Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
- Define and evolve reference architectures for AI‑enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
- Author Architecture Decision Records (ADRs), sequence flows, deployment diagrams and non‑functional requirements.
AI‑accelerated build leadership:
- Work directly in codebases alongside engineers to set patterns, unblock delivery and raise technical quality.
- Leverage AI coding and testing tools to accelerate development while enforcing clean architecture, security and maintainability.
- Review AI‑generated code, tests and documentation; apply engineering judgment to validate correctness and risk.
- Guide teams on effective prompt design, context management and reuse of AI accelerators.
Non‑functional architecture & reliability:
- Define performance, scalability, resilience, observability and operability requirements up front.
- Design for reliability using SLOs/SLIs, telemetry, graceful degradation and incident readiness.
- Embed security‑by‑design, Zero Trust principles and Responsible AI controls into solution designs.
- Ensure solutions are production‑ready with runbooks, automation and clear support handoffs.
Build‑to‑run ownership (Managed Services):
- Architect solutions that transition cleanly into long‑term managed operations.
- Design CI/CD pipelines, environment strategies and release automation with operational simplicity in mind.
- Balance speed of delivery with sustainability, cost transparency and service SLAs.
Client collaboration & technical leadership:
- Lead technical workshops and whiteboarding sessions with client architects and engineers.
- Explain architectural tradeoffs clearly to technical and semi‑technical stakeholders.
- Support solutioning and proposals primarily through architecture design, estimates and delivery approaches.
Skills and attributes for success
- Strong hands‑on background in software engineering and modern application architectures.
- Deep understanding of cloud‑native design, APIs, integration patterns and data architectures.
- Practical experience building AI‑enabled features (prompting, RAG, embeddings, evaluation).
- Comfort working directly in code, infrastructure and pipelines—not just producing diagrams.
- Clear technical communication and a bias toward building to learn.
Ideally, you’ll also have
- Experience with Azure (preferred), AWS or GCP and containerized platforms.
- Exposure to observability stacks, SRE concepts and incident response.
- Experience architecting in regulated environments with privacy, security or model‑risk considerations.
- Relevant cloud, security or architecture certifications (a plus, not required).
Qualifications
- Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
- Typically 8+ years in engineering and solution architecture roles, with recent hands‑on delivery responsibility.
- Prior consulting or complex product delivery experience strongly preferred.
What we look for
We look for architects who lead by building. You combine strong engineering fundamentals with modern AI‑enabled delivery techniques, stay close to the code, and help teams move faster without sacrificing trust, quality or security.
What we offer you
- Hands‑on ownership of complex, AI‑forward digital products and platforms.
- Access to modern engineering stacks, AI tooling and global Digital Engineering expertise.
- Continuous learning, certification support and opportunities to shape reusable EY assets.
- Flexible work arrangements within a collaborative, inclusive culture.
Responsible use of AI tools (non‑negotiable)
- Follow EY and client policies for data protection, privacy and confidentiality.
- Ensure all AI‑enabled components are evaluated, monitored and governed.
- Maintain human accountability for architecture decisions and production readiness.
What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
-
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $139,100 to $254,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $166,900 to $289,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
-
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
-
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See all 5,644+ H-1B Visa AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Engineer
Verify your role meets specialty occupation criteria
AI Engineer positions must require a specific bachelor's degree to qualify for H-1B sponsorship. Check your target job description against the O*NET profile for your SOC code to confirm the degree requirement is explicit, not just preferred.
Target employers with cap-exempt filing options
Universities, nonprofit research organizations, and government research labs are cap-exempt H-1B sponsors. AI roles at these institutions let you file outside the annual lottery, giving you a year-round path that bypasses the 85,000-slot cap entirely.
Search H-1B sponsors using LCA filing history
Use Migrate Mate to filter AI Engineer roles by employers with verified LCA filing history, so you're applying only to companies that have already demonstrated willingness and infrastructure to sponsor H-1B petitions for this occupation.
Negotiate premium processing into your offer
Standard H-1B adjudication can run several months. Ask your recruiter during offer negotiation whether the employer will elect premium processing through USCIS, which guarantees a decision within 15 business days and protects your start-date timeline.
Document project work that proves specialty-level expertise
USCIS RFEs on AI Engineer petitions frequently challenge whether the role requires a theoretical and practical application of highly specialized knowledge. Compile technical documentation, model architecture write-ups, and peer-reviewed contributions before your employer files.
Confirm your wage level against OFLC Wage Search data
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and work location. Cross-check the offered salary against OFLC Wage Search before signing your offer letter to flag any compliance gap early.
H-1B Visa AI Engineer: Frequently Asked Questions
Does an AI Engineer role qualify as an H-1B specialty occupation?
AI Engineer positions qualify as H-1B specialty occupations when the job description explicitly requires at least a bachelor's degree in a specific field such as computer science, machine learning, or electrical engineering. Roles where any technical degree is acceptable, or where the requirement is listed as preferred rather than required, can trigger an RFE from USCIS. Make sure your offer letter and the employer's LCA language both reflect a specific degree requirement tied to the job duties.
Which employers sponsor H-1B visas for AI Engineers?
Technology companies, financial institutions, healthcare systems, and federal contractors all file H-1B petitions for AI Engineer roles. The most reliable way to identify active sponsors is to search employers by their LCA filing history for computer occupations. Migrate Mate filters AI Engineer jobs specifically by verified H-1B sponsorship history, so you're not applying blind to companies without a clear sponsorship track record.
How does the H-1B lottery affect AI Engineer job seekers?
USCIS opens H-1B registration each March for a lottery capped at 85,000 slots annually, with 65,000 in the regular cap and 20,000 reserved for U.S. master's degree holders. If you aren't selected, cap-exempt employers including universities and qualifying nonprofit research organizations can file outside the lottery. Some AI Engineers also pursue O-1A visas as an alternative if their work demonstrates extraordinary ability.
What documents does an employer need to file your H-1B petition as an AI Engineer?
Your employer needs a certified Labor Condition Application from DOL before filing Form I-129 with USCIS. You'll need to provide academic transcripts and a credential evaluation if your degree is from outside the U.S., your CV listing AI-specific projects and tools, and any publications or patents that support the specialty occupation argument. Employers often request a detailed job duty description matching your degree field to reduce the risk of an RFE.
Can AI Engineers on OPT work for an employer while awaiting H-1B approval?
If your H-1B petition is filed before your OPT expires and you're selected in the lottery, the cap-gap rule automatically extends your OPT employment authorization through September 30 of that fiscal year. Your employer must file before the cap-gap window opens, so confirm that your OPT end date and the H-1B filing timeline align. USCIS requires that the cap-gap extension is based on a timely filed, non-frivolous petition.