AI Architect Jobs in USA with Visa Sponsorship
AI Architect roles rank among the most sponsorship-friendly positions in tech. Employers regularly file H-1B visa and O-1 visa petitions for this specialty, and the advanced degree requirement means your qualifications map cleanly to USCIS specialty occupation standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsJob Title: AI Architect - Generative AI
City: Irving
State/Province: Texas
Posting Start Date: 7/31/26
Role: AI Architect – Generative AI
Location: Tampa, FL (3 Days onsite/week)
Role focused on designing, implementing, and scaling enterprise-grade AI and Generative AI solutions.
The AI Architect – Generative AI will be responsible for defining the technical vision, architecture, and delivery approach for scalable AI solutions across enterprise environments. The role will focus on large language models, Retrieval-Augmented Generation, agentic AI frameworks, cloud-native AI platforms, MLOps/LLMOps, governance, security, and responsible AI adoption. The ideal candidate will work closely with business stakeholders, data scientists, engineering teams, product owners, and security teams to convert business needs into production-ready AI capabilities.
Key Responsibilities
- Design end-to-end AI and Generative AI architectures aligned with business objectives, enterprise standards, and technology roadmaps.
- Architect scalable solutions using large language models, Retrieval-Augmented Generation, embeddings, vector databases, prompt engineering, fine-tuning, and agentic AI patterns.
- Define architecture blueprints, reusable patterns, solution accelerators, and reference implementations for enterprise AI adoption.
- Lead technical evaluation and selection of AI platforms, model providers, orchestration frameworks, vector stores, cloud services, and integration technologies.
- Design and operationalize LLMOps and MLOps pipelines covering model evaluation, prompt lifecycle management, monitoring, feedback loops, versioning, deployment automation, and continuous improvement.
- Collaborate with data engineering teams to design ingestion, indexing, chunking, embedding, semantic search, and knowledge retrieval pipelines.
- Ensure AI solutions are secure, reliable, scalable, observable, cost-effective, and compliant with enterprise governance and responsible AI standards.
- Define guardrails for responsible AI usage, including data privacy, bias mitigation, explainability, auditability, human-in-the-loop controls, and prompt injection protection.
- Provide technical leadership to AI engineers, data scientists, cloud engineers, and application development teams during design, build, testing, and production rollout.
- Translate complex AI concepts into clear recommendations for business leaders and non-technical stakeholders.
- Stay current with emerging AI technologies, frameworks, model capabilities, risks, and industry best practices.
Mandatory Skills: DataBricks - Data Engineering
Experience: 8-10 Years
The expected compensation for this role ranges from $80,000 to $158,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Job Title: AI Architect - Generative AI
City: Irving
State/Province: Texas
Posting Start Date: 7/31/26
Role: AI Architect – Generative AI
Location: Tampa, FL (3 Days onsite/week)
Role focused on designing, implementing, and scaling enterprise-grade AI and Generative AI solutions.
The AI Architect – Generative AI will be responsible for defining the technical vision, architecture, and delivery approach for scalable AI solutions across enterprise environments. The role will focus on large language models, Retrieval-Augmented Generation, agentic AI frameworks, cloud-native AI platforms, MLOps/LLMOps, governance, security, and responsible AI adoption. The ideal candidate will work closely with business stakeholders, data scientists, engineering teams, product owners, and security teams to convert business needs into production-ready AI capabilities.
Key Responsibilities
- Design end-to-end AI and Generative AI architectures aligned with business objectives, enterprise standards, and technology roadmaps.
- Architect scalable solutions using large language models, Retrieval-Augmented Generation, embeddings, vector databases, prompt engineering, fine-tuning, and agentic AI patterns.
- Define architecture blueprints, reusable patterns, solution accelerators, and reference implementations for enterprise AI adoption.
- Lead technical evaluation and selection of AI platforms, model providers, orchestration frameworks, vector stores, cloud services, and integration technologies.
- Design and operationalize LLMOps and MLOps pipelines covering model evaluation, prompt lifecycle management, monitoring, feedback loops, versioning, deployment automation, and continuous improvement.
- Collaborate with data engineering teams to design ingestion, indexing, chunking, embedding, semantic search, and knowledge retrieval pipelines.
- Ensure AI solutions are secure, reliable, scalable, observable, cost-effective, and compliant with enterprise governance and responsible AI standards.
- Define guardrails for responsible AI usage, including data privacy, bias mitigation, explainability, auditability, human-in-the-loop controls, and prompt injection protection.
- Provide technical leadership to AI engineers, data scientists, cloud engineers, and application development teams during design, build, testing, and production rollout.
- Translate complex AI concepts into clear recommendations for business leaders and non-technical stakeholders.
- Stay current with emerging AI technologies, frameworks, model capabilities, risks, and industry best practices.
Mandatory Skills: DataBricks - Data Engineering
Experience: 8-10 Years
The expected compensation for this role ranges from $80,000 to $158,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
See all 715+ AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Architect roles.
Get Access To All JobsTips for Finding AI Architect Jobs
Lead with your system design credentials
AI Architects are evaluated on their ability to design end-to-end ML infrastructure, not just model performance. Highlight distributed systems experience, MLOps pipelines, and production deployment work. Sponsors want proof you can own architecture decisions at scale.
Target companies with existing H-1B filing history
Large tech firms and AI-focused startups with prior H-1B filings are your strongest prospects. Prior filings signal an established immigration process, in-house counsel, and willingness to absorb sponsorship costs, which shortens your time from offer to petition.
Frame your degree field precisely on applications
USCIS scrutinizes specialty occupation claims for AI roles. A degree in computer science, electrical engineering, or statistics maps cleanly. Applied mathematics or cognitive science can qualify with the right framing. Vague field descriptions slow down or sink petitions.
Demonstrate you are building, not just advising
Sponsors hesitate when AI Architect roles look consultative. Position yourself as someone who ships systems: reference specific architectures you designed, the teams you led technically, and measurable outcomes. Hands-on system ownership is what USCIS and employers both want to see.
Get ahead of the H-1B lottery timeline
H-1B registration opens in March each year with an April 1 start date. If you need cap-subject sponsorship, align your job search to secure an offer by February. Missing this window means waiting an additional year or exploring cap-exempt employer options.
Explore O-1A if your profile is strong
AI Architects with published research, patents, keynote appearances, or recognition from major labs may qualify for the O-1A extraordinary ability visa. It has no annual cap or lottery, making it a faster and more reliable path than the H-1B for exceptional candidates.
Frequently Asked Questions
Does an AI Architect role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS requires that the position normally requires at least a bachelor's degree in a specific field. AI Architect roles routinely require degrees in computer science, machine learning, or electrical engineering, which satisfies the specialty occupation standard. The risk increases when job descriptions are written broadly or accept any STEM degree, so the employer's job posting language matters significantly during adjudication.
What degree do I need to get sponsored as an AI Architect?
Most sponsoring employers require a bachelor's degree at minimum in computer science, electrical engineering, or a closely related field. A master's or PhD in machine learning or AI strengthens both your candidacy and the petition itself. USCIS may request a credential evaluation if your degree is from outside the United States, particularly for three-year bachelor's programs. Advanced degrees also make you eligible for the H-1B visa advanced degree exemption, which improves your lottery odds.
Are AI Architect positions common among H-1B cap-exempt employers?
Yes. Universities, affiliated research institutions, and nonprofit research organizations are cap-exempt, meaning they can file H-1B petitions year-round without entering the lottery. National labs, hospital systems with AI divisions, and R&D arms of universities frequently hire AI Architects under cap-exempt status. If you miss the H-1B lottery or need faster authorization, these employers are worth prioritizing in your search on Migrate Mate.
How does an AI Architect role compare to a Machine Learning Engineer for visa sponsorship purposes?
Both qualify as specialty occupations, but AI Architect typically commands a higher-level job description that USCIS reviewers find easier to approve because the degree-to-role connection is more direct. ML Engineer roles sometimes face Requests for Evidence questioning whether the role requires a specific degree versus general engineering knowledge. AI Architect positions tend to have stronger supporting documentation from employers, which reduces petition risk.
Can I transfer my H-1B to a new employer if I am already an AI Architect on a visa?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, without waiting for USCIS approval, provided your current status is valid and unexpired. The new employer files a new I-129 referencing your existing H-1B. Because AI Architect is a well-recognized specialty occupation, transfer petitions for this role are generally straightforward and carry lower RFE risk than initial cap-subject petitions.
What is the prevailing wage requirement for sponsored AI Architect jobs?
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.