H-1B Visa Applied AI Engineer Jobs
Applied AI Engineer roles sit squarely within H-1B visa specialty occupation requirements, with employers filing Labor Condition Applications under SOC codes tied to software development and machine learning engineering. The cap-subject lottery applies unless your employer holds cap-exempt status, so timing your job search around the April registration window matters.
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Get Access To All JobsINTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE AND RESPONSIBILITIES
You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. This role owns the B2B data graph strategy end to end, from training data through model serving, blending classical machine learning and data science with LLM and agentic systems. You'll set the technical bar for a small, senior team while staying hands-on, shipping code and prototypes alongside the engineers you lead.
- You will extend ZoomInfo's B2B data graph into the long tail, making it the most comprehensive and accurate resource available, including companies with little public footprint.
- You will lead the team's work on agent memory, distinguishing what a user has supplied from what a system of record already owns.
- You will choose the right method for each problem — classical machine learning, language models, or code — based on measured evidence, and stop work that won't pay off.
- You will define the evaluation bar for the team's models and agents, building evaluation datasets, regression gates, and experiment designs that make quality claims trustworthy.
- You will own inference cost, latency, and capacity as core disciplines alongside model quality, including build-versus-buy and distillation decisions.
- You will hire and develop machine learning engineers, data scientists, and research engineers, growing senior engineers into technical leaders.
- You will represent the team's work across product, platform, security, and legal, and present results and their limits clearly to executives.
- You will set the standard for how the team uses agentic coding tools, pairing precise specifications with rigorous code review.
BASIC QUALIFICATIONS
Must-Have:
- You have significant, demonstrated experience building and shipping production machine learning systems, and you lead by building alongside your team — capability matters more than years.
- You have a track record of hiring and developing senior machine learning engineers and data scientists against a high bar.
- You stay hands-on today: shipping code, prototyping independently, and using agentic coding tools daily with rigorous review.
- You bring deep classical machine learning and data science expertise (supervised learning, feature engineering, statistical inference, experiment design, strong SQL) alongside production LLM and agentic systems, with the judgment to choose between them, including setting evaluation standards such as leakage-safe validation and calibration.
- You have owned inference cost, latency, and capacity alongside model quality, including build-versus-buy decisions, and you communicate results and their limits clearly to executive stakeholders.
PREFERRED QUALIFICATIONS
- You bring entrepreneurial experience — founding a company, or taking a product from inception to paying customers as a founding or early engineer.
- You have experience in propensity modeling, ranking and retrieval, clustering, or entity resolution at scale.
- You have worked on web-scale language processing over multilingual, noisy text, knowledge graphs, or user memory for agents.
- You have experience with post-training and distillation, open-weight model serving, or AI governance and safety practices (ISO/IEC 42001, NIST AI RMF).
LI-Remote
LI-VC1
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
INTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE AND RESPONSIBILITIES
You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. This role owns the B2B data graph strategy end to end, from training data through model serving, blending classical machine learning and data science with LLM and agentic systems. You'll set the technical bar for a small, senior team while staying hands-on, shipping code and prototypes alongside the engineers you lead.
- You will extend ZoomInfo's B2B data graph into the long tail, making it the most comprehensive and accurate resource available, including companies with little public footprint.
- You will lead the team's work on agent memory, distinguishing what a user has supplied from what a system of record already owns.
- You will choose the right method for each problem — classical machine learning, language models, or code — based on measured evidence, and stop work that won't pay off.
- You will define the evaluation bar for the team's models and agents, building evaluation datasets, regression gates, and experiment designs that make quality claims trustworthy.
- You will own inference cost, latency, and capacity as core disciplines alongside model quality, including build-versus-buy and distillation decisions.
- You will hire and develop machine learning engineers, data scientists, and research engineers, growing senior engineers into technical leaders.
- You will represent the team's work across product, platform, security, and legal, and present results and their limits clearly to executives.
- You will set the standard for how the team uses agentic coding tools, pairing precise specifications with rigorous code review.
BASIC QUALIFICATIONS
Must-Have:
- You have significant, demonstrated experience building and shipping production machine learning systems, and you lead by building alongside your team — capability matters more than years.
- You have a track record of hiring and developing senior machine learning engineers and data scientists against a high bar.
- You stay hands-on today: shipping code, prototyping independently, and using agentic coding tools daily with rigorous review.
- You bring deep classical machine learning and data science expertise (supervised learning, feature engineering, statistical inference, experiment design, strong SQL) alongside production LLM and agentic systems, with the judgment to choose between them, including setting evaluation standards such as leakage-safe validation and calibration.
- You have owned inference cost, latency, and capacity alongside model quality, including build-versus-buy decisions, and you communicate results and their limits clearly to executive stakeholders.
PREFERRED QUALIFICATIONS
- You bring entrepreneurial experience — founding a company, or taking a product from inception to paying customers as a founding or early engineer.
- You have experience in propensity modeling, ranking and retrieval, clustering, or entity resolution at scale.
- You have worked on web-scale language processing over multilingual, noisy text, knowledge graphs, or user memory for agents.
- You have experience with post-training and distillation, open-weight model serving, or AI governance and safety practices (ISO/IEC 42001, NIST AI RMF).
LI-Remote
LI-VC1
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
See all 956+ H-1B Visa Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Applied AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Applied AI Engineer
Map your degree to AI engineering SOC codes
USCIS evaluates whether your specific degree field directly relates to the Applied AI Engineer role. Pull the O*NET profile for your target SOC code and confirm your transcript language aligns before your employer files the I-129.
Use Migrate Mate to filter verified sponsors
Search Applied AI Engineer roles on Migrate Mate to surface employers with active LCA filing history for AI and ML positions, so you're targeting companies that have already cleared DOL prevailing-wage certification for this role type.
Check prevailing wage before negotiating your offer
Run your target job title, location, and Level I through IV wage tier through the OFLC Wage Search before your offer call. Your employer must pay at or above the prevailing wage on the certified LCA or your H-1B petition is defective from day one.
Verify your employer's E-Verify enrollment early
AI roles at early-stage startups frequently lack E-Verify enrollment, which blocks STEM OPT extensions and complicates future H-1B transfers. Confirm enrollment status during the interview stage, not after you've signed an offer letter.
Request premium processing if your OPT cap-gap is tight
If your OPT expires before October 1 and your employer filed after April 1, your authorized stay depends on an approved H-1B before status lapses. Premium processing cuts USCIS adjudication to 15 business days and removes that gap risk.
Document your AI project scope for specialty occupation evidence
Applied AI Engineer petitions increasingly face RFEs questioning whether the role truly requires a bachelor's degree in a specific field. Prepare job-duty narratives that name specific ML frameworks, model architectures, and research methodologies tied directly to your degree discipline.
H-1B Visa Applied AI Engineer: Frequently Asked Questions
Does an Applied AI Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, machine learning, mathematics, or a closely aligned engineering discipline. Employers strengthen the case by tying specific job duties, like fine-tuning large language models or designing inference pipelines, to degree-level theoretical knowledge. Generic software engineering duties without AI-specific requirements can weaken the specialty occupation argument at adjudication.
Which SOC codes do employers typically use when filing H-1B LCAs for Applied AI Engineer positions?
Most employers file under SOC 15-2051 (Data Scientists), 15-1252 (Software Developers, Quality Assurance Analysts, and Testers), or 15-1299 (Computer and Information Technology Occupations, All Other). The SOC code determines which prevailing wage level USCIS and DOL apply to the petition, so confirming the code your employer intends to use before the LCA is certified protects your offer terms.
How do I find Applied AI Engineer employers that actively sponsor H-1B visas?
Search on Migrate Mate, which surfaces employers with verified LCA filing history for AI and machine learning roles. This lets you focus your applications on companies that have already navigated DOL prevailing-wage certification for this role type rather than spending time on employers who have no H-1B sponsorship track record.
Can an Applied AI Engineer role at a startup or small company support an H-1B petition?
Yes, employer size doesn't determine H-1B eligibility, but smaller AI companies introduce specific risks. Startups may lack E-Verify enrollment, may struggle to document that the role genuinely requires a specialty-degree holder, or may not have the financial stability USCIS expects when assessing ability to pay. Asking for audited financials or a signed offer with defined salary terms before the petition is filed is reasonable due diligence.
What happens to my H-1B if my employer pivots away from AI projects after I'm sponsored?
Your H-1B is tied to the job duties and SOC code certified on the original LCA. If your duties shift materially away from the AI engineering work described in the petition, your employer should amend the H-1B with USCIS before the change takes effect. Working in a materially different role without an amended petition creates status compliance risk, and USCIS can issue an RFE or denial on extension if duties no longer match.