Genai Engineer Jobs in USA with Visa Sponsorship
GenAI Engineer roles rank among the most actively sponsored positions in tech right now, with H-1B visa and O-1A visas being the most common pathways. Employers filing LCAs for AI and machine learning roles have grown significantly, and specialty occupation status is well-established for this field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Associate, GenAI Engineer is an emerging technical contributor who leads component development, designs new AI Store solutions, and manages small-scale implementation projects. This role builds on foundational experience, offering opportunities to take ownership of technical deliverables and collaborate with cross-functional teams.
Essential Functions
- Design and develop agent components and templates for the organization.
- Build and orchestrate agentic AI workflows that coordinate multiple tools, models, and data sources.
- Lead small-scale implementation projects, coordinating with stakeholders and team members.
- Create and maintain standardized documentation and "recipe cards" for AI solutions.
- Conduct quality assurance testing and debugging of agent components.
- Evaluate, configure, and manage Model Context Protocol (MCP) servers and integrations.
- Perform model evaluation and tuning to optimize solution performance, accuracy, and cost.
- Analyze usage metrics and user feedback to improve solution offerings.
- Facilitate user training sessions and support enablement events.
- Maintain version control documentation and update logs for Collaboratory items.
- Assist in packaging common support requests into reusable agent components.
- Support junior analysts and contribute to team knowledge sharing.
BASIC QUALIFICATIONS
- Bachelor's degree in Technology, Business, Communications, or related field.
- 2–4 years of experience in technology support, AI implementation, or related roles.
- Proficiency with Generative AI tools, APIs, and automation concepts.
- Hands-on experience with AWS generative AI tooling, such as Amazon Bedrock, AgentCore, and related services.
- Experience using agentic coding tools, such as Claude Code, Codex, OpenCode, or similar.
- Experience designing and implementing agentic AI workflows.
- Familiarity with MCP (Model Context Protocol) evaluation and management.
- Experience with model evaluation and model tuning techniques.
- Strong documentation and organizational skills.
- Experience with Microsoft Office 365 and documentation/version control tools.
- Ability to work independently and manage multiple priorities.
PREFERRED QUALIFICATIONS
- Experience with the Anthropic, OpenAI, and Google Gemini platforms.
- Familiarity with Microsoft Copilot or similar AI platforms.
- Exposure to agile methodologies and product management concepts.
- Interest in technical implementation and user experience.
COMPENSATION
- Estimated base salary: $85,000 - $110,000 USD.
- The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel.
- This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy.
- Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $95,200 - $129,800 USD.
- The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
- The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
LI-REMOTE
LI-CL1
Position Level
Associate
Country
United States of America
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Associate, GenAI Engineer is an emerging technical contributor who leads component development, designs new AI Store solutions, and manages small-scale implementation projects. This role builds on foundational experience, offering opportunities to take ownership of technical deliverables and collaborate with cross-functional teams.
Essential Functions
- Design and develop agent components and templates for the organization.
- Build and orchestrate agentic AI workflows that coordinate multiple tools, models, and data sources.
- Lead small-scale implementation projects, coordinating with stakeholders and team members.
- Create and maintain standardized documentation and "recipe cards" for AI solutions.
- Conduct quality assurance testing and debugging of agent components.
- Evaluate, configure, and manage Model Context Protocol (MCP) servers and integrations.
- Perform model evaluation and tuning to optimize solution performance, accuracy, and cost.
- Analyze usage metrics and user feedback to improve solution offerings.
- Facilitate user training sessions and support enablement events.
- Maintain version control documentation and update logs for Collaboratory items.
- Assist in packaging common support requests into reusable agent components.
- Support junior analysts and contribute to team knowledge sharing.
BASIC QUALIFICATIONS
- Bachelor's degree in Technology, Business, Communications, or related field.
- 2–4 years of experience in technology support, AI implementation, or related roles.
- Proficiency with Generative AI tools, APIs, and automation concepts.
- Hands-on experience with AWS generative AI tooling, such as Amazon Bedrock, AgentCore, and related services.
- Experience using agentic coding tools, such as Claude Code, Codex, OpenCode, or similar.
- Experience designing and implementing agentic AI workflows.
- Familiarity with MCP (Model Context Protocol) evaluation and management.
- Experience with model evaluation and model tuning techniques.
- Strong documentation and organizational skills.
- Experience with Microsoft Office 365 and documentation/version control tools.
- Ability to work independently and manage multiple priorities.
PREFERRED QUALIFICATIONS
- Experience with the Anthropic, OpenAI, and Google Gemini platforms.
- Familiarity with Microsoft Copilot or similar AI platforms.
- Exposure to agile methodologies and product management concepts.
- Interest in technical implementation and user experience.
COMPENSATION
- Estimated base salary: $85,000 - $110,000 USD.
- The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel.
- This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy.
- Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $95,200 - $129,800 USD.
- The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
- The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
LI-REMOTE
LI-CL1
Position Level
Associate
Country
United States of America
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Get Access To All JobsTips for Finding Visa Sponsorship as a Genai Engineer
Lead with your AI stack, not your job title
Recruiters scanning for sponsored GenAI roles look for specific tools: PyTorch, LangChain, RAG pipelines, fine-tuning workflows. List these prominently on your resume. A generic 'AI Engineer' title with a strong stack gets more callbacks than a polished title with vague skills.
Target companies with active LCA filings in AI
Companies that have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are significantly more likely to sponsor again. Look for patterns in DOL disclosure data. Repeat filers have established legal processes, which means faster, smoother sponsorship for you.
Clarify your visa status early, not at offer stage
Many GenAI hiring managers aren't familiar with visa timelines. Mentioning your status early, framing it as a straightforward process, prevents late-stage deal-breakers. A brief explanation of H-1B or O-1 visa requirements during early conversations sets realistic expectations for both sides.
A degree in CS, ML, or a related field strengthens your case
H-1B specialty occupation requires a degree directly related to the role. For GenAI positions, computer science, electrical engineering, mathematics, or statistics degrees map cleanly. If your degree is in another field, documented experience in machine learning or AI systems becomes especially critical to include.
O-1A is worth exploring if you have recognized AI work
Published research, open-source contributions with significant adoption, speaking at major AI conferences, or high-citation papers can support an O-1A petition. This visa has no lottery and no annual cap, making it a strong alternative for GenAI engineers with a visible track record in the field.
Use Migrate Mate to filter for roles that explicitly sponsor
Most job boards don't surface visa sponsorship availability clearly. Migrate Mate is built specifically to show which GenAI Engineer roles include sponsorship, saving you hours of researching individual companies before applying. Browse open roles filtered by sponsorship status to prioritize where your time goes.
Frequently Asked Questions
Is GenAI Engineer considered a specialty occupation for H-1B purposes?
Yes. GenAI Engineer roles qualify as specialty occupations under H-1B visa standards because they require at minimum a bachelor's degree in a specific technical field, typically computer science, machine learning, mathematics, or a directly related discipline. USCIS has consistently approved H-1B petitions for AI and machine learning engineering roles, and the DOL regularly certifies LCAs for these positions without significant challenge.
How competitive is H-1B sponsorship for GenAI Engineers compared to other tech roles?
GenAI is one of the highest-demand areas in tech right now, which cuts both ways. More companies are willing to sponsor because the talent pool with these specific skills is limited. However, you still face the annual H-1B lottery if you're cap-subject. In FY2025, USCIS selected roughly 25% of registrations. Companies hiring GenAI engineers frequently use cap-exempt routes, such as university research positions or nonprofit affiliations, to bypass the lottery entirely.
Can I qualify for an O-1A visa as a GenAI Engineer?
Yes, if you have demonstrable recognition in the field. Published research in peer-reviewed AI journals, significant open-source contributions, presentations at recognized conferences like NeurIPS or ICML, or employment in a critical role at a leading AI organization can all support an O-1A petition. The O-1A has no lottery and no annual cap, making it a practical alternative for engineers with a visible track record who want to avoid H-1B uncertainty.
What degree do I need for a sponsored GenAI Engineer role?
A bachelor's degree or higher in computer science, electrical engineering, applied mathematics, statistics, or a closely related field satisfies the H-1B specialty occupation requirement for most GenAI Engineer positions. Degrees in unrelated fields create complications. If your degree doesn't align, three years of directly relevant professional experience can substitute for each year of missing education under USCIS equivalency rules, though this requires careful documentation and is scrutinized more closely.
Where can I find GenAI Engineer jobs that offer visa sponsorship?
Most general job boards don't filter by sponsorship availability, so you waste time applying to roles that won't sponsor. Migrate Mate is built specifically for international job seekers and surfaces GenAI Engineer roles where employers have indicated willingness to sponsor. You can browse current openings filtered by sponsorship status, which saves significant time in your search.
What is the prevailing wage requirement for sponsored Genai Engineer 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.