AI Product Engineer Jobs in USA with Visa Sponsorship
AI Product Engineers are strong H-1B visa candidates, the role requires a computer science or engineering degree and sits squarely within USCIS specialty occupation criteria. Employers at AI-focused startups and established tech companies regularly sponsor H-1B, O-1, and L-1 visas for this title. For detailed occupation requirements, see the O*NET profile.
See All AI Product Engineer JobsOverview
Showing 5 of 3,697+ AI Product Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 3,697+ AI Product Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer roles.
Get Access To All JobsINTRODUCTION
Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
ABOUT THE AI PRODUCT ENGINEER ROLE
As an AI Product Engineer on the K.AIML team, you will build and scale AI-powered applications that support Keystone’s litigation, regulatory, investigative, and strategic advisory work.
This is a full-stack engineering role focused on productization. You will take proof-of-concepts developed by Forward Deployed AI Engineers and transform them into secure, scalable, production-grade products. You’ll own architecture decisions, build robust backend and frontend systems, manage releases, and ensure the reliability and maintainability of AI tools deployed across the firm and to select clients.
AI Product Engineers at Keystone operate like startup engineers inside a consulting firm: moving quickly from prototype to launch while maintaining production standards appropriate for high-stakes use cases.
KEY RESPONSIBILITIES
- Lead the end-to-end productization of AI tools, translating POCs into secure, scalable, production-ready systems
- Design and implement full-stack architectures, including frontend interfaces, backend services, data pipelines, and model integrations in collaboration with Keystone’s data engineering team
- Own application reliability, performance, and maintainability across beta releases and production environments
- Collaborate closely with Forward Deployed AI Engineers to refine requirements and prioritize features based on real-world usage
- Manage product releases, including beta programs, user testing, feature iteration, and launch readiness
- Build new features in alignment with evolving product roadmaps and practice priorities
- Intake, diagnose, and resolve user-reported issues and bugs; implement monitoring and logging to proactively surface problems
- Maintain technical documentation and contribute to roadmap planning, effort estimation, and resource forecasting
- Continuously evaluate improvements to architecture, model integration patterns, and system design to enhance performance and scalability
WHAT YOU’LL BRING
- Advanced degree or equivalent professional experience in Computer Science, Software Engineering, or a related technical field
- 6–10+ years of professional software engineering experience, including experience building and maintaining production systems
- Strong full-stack development experience (e.g., Python backend frameworks, modern frontend frameworks, APIs, and database design)
- Experience integrating AI/ML systems or large language models into production applications
- Demonstrated ownership of systems from design through deployment and long-term maintenance
- Comfort working in fast-moving, ambiguous environments where requirements evolve quickly
- Ability to collaborate closely with non-engineering stakeholders and translate product needs into technical design decisions
COMPENSATION
- Annual Salary Range: $104,470—$147,037 USD
In addition to annual salary, we provide annual 401k contributions and competitive benefits package. Actual Compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.
INTRODUCTION
Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
ABOUT THE AI PRODUCT ENGINEER ROLE
As an AI Product Engineer on the K.AIML team, you will build and scale AI-powered applications that support Keystone’s litigation, regulatory, investigative, and strategic advisory work.
This is a full-stack engineering role focused on productization. You will take proof-of-concepts developed by Forward Deployed AI Engineers and transform them into secure, scalable, production-grade products. You’ll own architecture decisions, build robust backend and frontend systems, manage releases, and ensure the reliability and maintainability of AI tools deployed across the firm and to select clients.
AI Product Engineers at Keystone operate like startup engineers inside a consulting firm: moving quickly from prototype to launch while maintaining production standards appropriate for high-stakes use cases.
KEY RESPONSIBILITIES
- Lead the end-to-end productization of AI tools, translating POCs into secure, scalable, production-ready systems
- Design and implement full-stack architectures, including frontend interfaces, backend services, data pipelines, and model integrations in collaboration with Keystone’s data engineering team
- Own application reliability, performance, and maintainability across beta releases and production environments
- Collaborate closely with Forward Deployed AI Engineers to refine requirements and prioritize features based on real-world usage
- Manage product releases, including beta programs, user testing, feature iteration, and launch readiness
- Build new features in alignment with evolving product roadmaps and practice priorities
- Intake, diagnose, and resolve user-reported issues and bugs; implement monitoring and logging to proactively surface problems
- Maintain technical documentation and contribute to roadmap planning, effort estimation, and resource forecasting
- Continuously evaluate improvements to architecture, model integration patterns, and system design to enhance performance and scalability
WHAT YOU’LL BRING
- Advanced degree or equivalent professional experience in Computer Science, Software Engineering, or a related technical field
- 6–10+ years of professional software engineering experience, including experience building and maintaining production systems
- Strong full-stack development experience (e.g., Python backend frameworks, modern frontend frameworks, APIs, and database design)
- Experience integrating AI/ML systems or large language models into production applications
- Demonstrated ownership of systems from design through deployment and long-term maintenance
- Comfort working in fast-moving, ambiguous environments where requirements evolve quickly
- Ability to collaborate closely with non-engineering stakeholders and translate product needs into technical design decisions
COMPENSATION
- Annual Salary Range: $104,470—$147,037 USD
In addition to annual salary, we provide annual 401k contributions and competitive benefits package. Actual Compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.
See all 3,697+ AI Product Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Engineer
Target AI-native companies first
Companies building AI products as their core business, not as a side initiative, file more LCAs for this title and have established sponsorship pipelines. Their legal teams already know the H-1B process, which reduces friction and delays for new hires.
Align your degree field to the role
USCIS requires a direct relationship between your degree and the job. Computer science, software engineering, and machine learning degrees map cleanly. A business degree, even with a technical minor, may trigger an RFE for this specialty occupation title.
Document your AI-specific experience before interviews
Prepare a concise summary of your product contributions: models you've shipped, inference infrastructure you've built, and measurable outcomes. Employers assessing sponsorship risk want evidence you can contribute immediately, which shortens internal approval timelines.
O-1A is a realistic alternative for experienced engineers
If you have published research, patents, open-source projects with significant adoption, or a track record of leading AI initiatives, the O-1A visa bypasses the lottery entirely. Immigration counsel can assess your qualifications based on documented achievements.
Clarify sponsorship scope before accepting an offer
Some employers will file an H-1B petition but won't cover premium processing or legal fees. Others offer full sponsorship through green card. Ask specifically what's included so you can evaluate the offer with complete information before signing.
AI Product Engineer jobs are hiring across the US. Find yours.
Find AI Product Engineer JobsFrequently Asked Questions
Does AI Product Engineer qualify as a specialty occupation for H-1B purposes?
Yes. USCIS consistently approves H-1B petitions for AI Product Engineer roles when the position requires a bachelor's degree or higher in computer science, software engineering, or a closely related field. The key is that the job description must demonstrate the degree is a minimum requirement, not a preference. Generic language like 'degree preferred' rather than 'degree required' has triggered RFEs in this category, so the offer letter and LCA documentation matter significantly.
Which visa types do employers commonly use to sponsor AI Product Engineers?
H-1B is the most common path, particularly for candidates already in the U.S. on F-1 OPT or STEM OPT. O-1A is increasingly viable for engineers with notable research publications, patents, or open-source contributions that demonstrate extraordinary ability. L-1B works for engineers transferring from a foreign office of the same company. Candidates from Australia may also qualify for the E-3, which has no lottery and significantly faster processing.
What degree field do I need to get sponsored as an AI Product Engineer?
Computer science, software engineering, electrical engineering, or machine learning are the most defensible degree fields for this title. Data science degrees are generally accepted. A degree in a non-technical field, even with extensive self-taught experience, creates sponsorship risk because USCIS evaluates the formal credential, not practical skill. If your degree field is adjacent rather than direct, a credential evaluation and employment history letter from an expert witness can strengthen the petition.
Are AI Product Engineer roles harder to get sponsored for at startups versus large tech companies?
Large companies have dedicated immigration teams and established H-1B processes, which makes the internal approval faster and the petition more polished. Early-stage startups often sponsor successfully too, but they may lack prior LCA filings, which USCIS treats as a neutral factor, not a negative one. The real risk at startups is financial stability: USCIS scrutinizes whether the employer can pay the prevailing wage for the full petition period. Series A and later-stage startups with clear funding runway typically sponsor without difficulty.
Where can I find AI Product Engineer roles that offer visa sponsorship?
Migrate Mate lists AI Product Engineer positions from employers who have confirmed they sponsor work visas, so you're not filtering through hundreds of roles that don't apply to your situation. The platform is built specifically for international candidates, which means job listings surface sponsorship details that generic job boards omit. Browsing by role title on Migrate Mate shows you which companies are actively hiring and willing to sponsor right now.
What is the prevailing wage requirement for sponsored AI Product 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.
See which AI Product Engineer employers are hiring and sponsoring visas right now.
Search AI Product Engineer Jobs