AI Product Engineer Jobs in USA with Visa Sponsorship
AI Product Engineer jobs attract strong H-1B visa sponsorship from U.S. tech employers because the role qualifies as a specialty occupation requiring a directly related bachelor's degree. Many also accommodate F-1 OPT and STEM OPT candidates, giving you up to 36 months of work authorization while employers file your long-term visa petition. For detailed occupation requirements, see the O*NET profile.
Find AI Product Engineer JobsOverview
Showing 5 of 14,487+ AI Product Engineer jobs










See all 14,487+ 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 Jobs
At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career.
Role Summary
The Capital Partners (CP) Artificial Intelligence (AI) Product Engineer will help convert approved AI concepts, requirements, and business needs into deployed, scalable, secure, maintainable AI-enabled products and solutions. Working in partnership with the CP AI Strategy & Transformation Leader, AI Design & Enablement function, Product Owners, Business SMEs, Technology, Data, Operations, Risk, Compliance, Legal, Information Security, Change Management, Training, and Executive Leadership, this role will support the design, build, configuration, testing, deployment, monitoring, and ongoing improvement of CP's AI-enabled products, agents, copilots, workflows, integrations, and platform capabilities. The role will be responsible for ensuring AI solutions are engineered into existing workflows where appropriate, supported by clear technical documentation, tested for readiness, aligned to approved requirements, and maintainable after release. This role serves as the bridge between AI strategy, product management, engineering, and operational deployment, helping CP move priority use cases from pilot concepts to production-ready capabilities with measurable business value and sustainable support models.
AI Product Design & Engineering
- Translate approved AI use cases and business requirements into solution designs, technical architectures, user interactions, system dependencies, agent configurations, integration patterns, and implementation plans.
- Build, configure, test, deploy, and maintain AI-enabled products, Copilot Studio agents, workflow automations, connectors, actions, and platform components in alignment with approved requirements.
- Partner with Product Owners and Business SMEs to refine functional requirements, define user journeys, clarify acceptance criteria, and support backlog prioritization based on business value, readiness, and scalability.
- Collaborate with Technology and Data teams to design and implement APIs, connectors, data access patterns, integrations, and platform capabilities needed for CP AI solutions.
- Configure enterprise data connections, authentication approaches, access controls, and environment settings in partnership with appropriate technology and security teams.
- Design AI-enabled workflows that support operational processes, including future-state workflow maps, handoffs, approvals, exception paths, human review, workflow controls, operational safeguards, and production support needs.
Technical Testing, Release Readiness & Operational Support
- Develop and execute technical test plans, including functional testing, access testing, regression testing, integration testing, response-quality testing, and release validation.
- Document test results, defects, remediation actions, deployment dependencies, operational risks, and readiness considerations for review by appropriate stakeholders.
- Provide implementation recommendations and technical tradeoff analysis relating to scalability, maintainability, usability, performance, and operational support requirements.
- Prepare deployment plans, release checklists, runbooks, implementation evidence, known limitations, support requirements, and technical handoff materials to support controlled launch and sustainable operations.
- Support monitoring and observability for AI-enabled products, including usage patterns, user experience metrics, performance visibility, reliability trends, logging, exception tracking, issue triage, and support routines.
- Troubleshoot grounding issues, workflow failures, connector issues, access concerns, performance defects, and production support items in partnership with AI Context Engineers and Technology teams.
- Support platform enhancements and release iterations based on user feedback, monitoring results, and approved backlog priorities.
Governance, Cross-Functional Delivery & Continuous Improvement
- Collaborate with Information Security, Risk, Compliance, Legal, Technology, and Data partners to support secure-by-design implementation, approved access patterns, data protection expectations, and release practices.
- Ensure technical designs, agent configurations, workflow automations, and integration approaches are documented clearly and aligned to approved requirements and operating model expectations.
- Partner with the AI Design & Enablement function to ensure new AI capabilities are accompanied by clear onboarding, communications, training inputs, and support materials.
- Partner with AI Context Engineers to align solution configuration with approved knowledge sources, metadata structures, prompt patterns, system instructions, and context maintenance needs.
- Capture recurring technical issues, user friction points, reliability trends, and platform constraints to inform continuous improvement of AI products and delivery practices.
- Reinforce consistency and shared engineering standards while enabling practical, localized innovation across CP AI use cases.
Relevant Knowledge & Exposure
- 5+ years of relevant work experience required
- Experience supporting software engineering, product engineering, AI solution delivery, workflow automation, systems integration, platform configuration, or technical product management.
- Strong understanding of AI agents, copilots, workflow orchestration, connectors, APIs, authentication patterns, technical testing, monitoring, and production support practices.
- Ability to translate business requirements into buildable technical designs, backlog items, agent configurations, workflow specifications, and release artifacts.
- Experience working with business, technology, data, operations, risk, compliance, legal, information security, change management, training, and leadership stakeholders.
- Strong documentation skills, including solution designs, test plans, release checklists, deployment plans, runbooks, support guides, and technical decision records.
- Copilot Studio agent build experience preferred.
- Experience operating in regulated or complex environments is preferred.
Salary Range
$90,000 - $130,000 base salary + annual bonus opportunity
BBH and its affiliates' compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being.
We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply.
About BBH:
Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.
We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development—so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another.
We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often—pushing the boundaries of innovation. As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to-day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.
See all 14,487+ 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
Frame your degree as directly related
USCIS scrutinizes whether your degree field directly relates to AI product engineering. A degree in computer science or machine learning is clean. If yours is in physics or math, document how your coursework maps to AI systems development before applying.
Target companies with AI infrastructure teams
Employers building proprietary AI pipelines file LCAs under software-adjacent occupation codes that USCIS consistently approves as specialty occupations. Focus your search on product teams where AI is core infrastructure, not a bolted-on feature, since those roles carry clearer degree requirements.
Use OFLC Wage Search to anchor your negotiation
Your employer's LCA must certify your wage at or above the prevailing wage for your location and role level. Run the OFLC Wage Search for your metro area before entering salary discussions so you know the minimum the employer is legally obligated to offer.
Get your STEM OPT training plan employer-signed early
AI product roles qualify for the STEM OPT extension, but your employer must sign Form I-983 before you file. Many hiring managers don't know what I-983 is. Surface it during onboarding, not 90 days before your OPT expires, to avoid gaps in authorization.
Search Migrate Mate for verified LCA sponsors
Migrate Mate lists employers with confirmed LCA filing history for AI and software roles, searchable by city and job type. You can identify which companies have already navigated the specialty occupation determination for roles matching your background before you apply.
Request H-1B filing before cap registration closes
H-1B is subject to an annual cap and selection process, and registration rules have changed recently. If you're already in H-1B status with another employer, your new employer can file a transfer petition and you can start work once it's submitted, without waiting for a new cap slot.
Frequently Asked Questions
Does an AI Product Engineer role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS evaluates specialty occupation status based on whether the role requires a bachelor's degree or higher in a directly related field. AI Product Engineer roles that involve machine learning systems, model deployment, or AI infrastructure typically satisfy this standard, particularly when the job description specifies a degree in computer science, software engineering, or a related discipline.
Which visa types are available to AI Product Engineers seeking U.S. sponsorship?
H-1B is the most common path for employer-sponsored full-time roles. F-1 students can work under OPT for 12 months and extend to 36 months total through STEM OPT if the role directly relates to their STEM-designated degree. Australian nationals can apply for an E-3 visa, and Canadian or Mexican nationals may qualify under TN visa if their occupation fits the USMCA profession list.
What degree does an employer need to sponsor for this role?
Employers filing an H-1B for an AI Product Engineer must demonstrate the role requires at least a bachelor's degree in a directly related field, most commonly computer science, artificial intelligence, or software engineering. A general business or unrelated STEM degree typically isn't sufficient. USCIS may issue a Request for Evidence if the degree-to-role connection isn't clearly documented in the petition.
How do I find employers actively sponsoring AI Product Engineer visas?
Migrate Mate shows employers with verified LCA sponsorship history for AI and software roles, searchable by location and job type. This lets you focus your applications on companies that have already filed for similar roles rather than testing whether a company is willing to sponsor for the first time.
Can a startup sponsor an H-1B for an AI Product Engineer?
Yes, startups can sponsor H-1B petitions. USCIS doesn't require a minimum company size, but it does require the employer to demonstrate a valid employer-employee relationship and the financial ability to pay the prevailing wage. Early-stage companies should be prepared to provide financial statements or investor documentation if USCIS issues an RFE questioning the employer's ability to pay.
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.