Forward Deployed AI Engineer Jobs in USA with Visa Sponsorship
Forward Deployed AI Engineer roles sit at the intersection of deep technical work and direct client deployment, making them specialty occupation roles well-suited for H-1B visa sponsorship. Employers in this space actively file LCAs and sponsor international candidates with degrees in computer science, AI, or a related engineering field.
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Location: United States - New York
Job Type: Full Time
Key responsibilities
Turn front-office problems into governed, production-grade AI solutions that transform sales workflows.
You will own the journey from discovery through implementation: understand how work actually happens, identify where AI can materially improve it, rapidly put solutions in front of users, and partner with senior Global Markets quants and technology teams on governance, productionisation and scale.
This is a role for someone who likes interpreting and doing, not consulting and enabling from the sidelines.
What you will do
- Embed with Distribution desks. Understand how work actually happens, map workflows end to end, identify friction and waste, and prioritise opportunities against the seven pillars of the Global Markets Sales strategy.
- Build quickly. Use the bank's existing AI and low-code capabilities to automate workflows and get useful solutions in front of users in days rather than months. The objective is not to build bespoke software where an existing tool can solve the problem.
- Redesign before you automate. Challenge unnecessary steps, hand-offs and duplication rather than simply using AI to automate an inefficient process.
- Own the dependencies. Identify the APIs, data and entitlements required for your solutions, specify what is needed clearly, and drive those requirements through to delivery.
- Design for compliant AI. Understand the architectural and governance considerations around AI systems and ensure solutions operate within the bank's AI, data, risk and control frameworks.
- Unlock the right data. Recommend how each desk should organise and access its information to enable AI use cases while adhering to the bank's need-to-know framework.
- Know what not to build. Solve problems directly where the available tools allow it. Where a requirement genuinely needs strategic engineering, route it to Quant or Technology with a well-defined problem statement, requirements and expected business outcome.
- Drive adoption, not just delivery. Train users, observe how solutions perform in real workflows, iterate quickly, spread successful patterns across desks, and make sure what you build is still being used a month later.
- Scale what works. Spot recurring problems across products, regions and desks and turn successful local solutions into reusable capabilities.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
The team
This role sits at the intersection of Global Markets Distribution, Quantitative Engineering and regional Sales, with connectivity to the senior leaders responsible for each.
It is an embedded, front-office role. Success is measured not by recommendations or prototypes alone, but by whether better ways of working make it into the hands of users and stay there.
Your skills and experience
You bring:
- Real curiosity about AI. You actively use today's AI tools and have a practical understanding of where they are powerful, where they fail, and where human judgement still matters.
- Hands-on building ability. Experience with AI and low-code tooling such as Cowork, Copilot Studio or similar platforms, plus the appetite to master the next tool just as quickly.
- A process engineer's mindset. You can take a workflow apart, identify its constraints and inefficiencies, and redesign it rather than simply automating the existing mess.
- Strong communication skills. You can earn the trust of busy front-office professionals, ask incisive questions and explain technology without hiding behind jargon.
- Exceptional learning velocity. A new desk, asset class, dataset or tool should take you days to begin understanding, not months.
- Technical fluency. You are comfortable working with data, understanding system interactions, scoping an API and building a working prototype. Deep software-engineering experience is welcome, but it is not the purpose of the role.
- Commercial judgement. You can distinguish an interesting problem from a valuable one, prioritise ruthlessly, and say no or redirect work when that is the right answer.
- Financial markets exposure. Financial-services experience is additive but not essential.
- You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
You are:
- Practical, focused and biased toward action.
- Comfortable operating on a busy trading floor and communicating with people at every level.
- Curious about how the business works, not simply about the technology.
- A fast learner who is comfortable with ambiguity and incomplete information.
- Able to work independently while thriving in a highly collaborative environment.
- Comfortable balancing speed and innovation with the governance standards of a regulated institution.
- Motivated by seeing something you built change how people actually work.
What success looks like
You will know you are succeeding when:
- Front-office users come to you with problems, not specifications.
- Useful solutions reach users in days or weeks, not quarters.
- You eliminate work rather than simply making existing steps faster.
- The things you build are actually adopted and remain in use.
- Successful solutions spread from one desk to another.
- Strategic engineering teams receive better-defined problems because of your work.
- AI becomes part of how Distribution operates, rather than a separate technology initiative.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
Salary information
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 145000 - max USD 172500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Forward-Deployed AI Engineer
Location: United States - New York
Job Type: Full Time
Key responsibilities
Turn front-office problems into governed, production-grade AI solutions that transform sales workflows.
You will own the journey from discovery through implementation: understand how work actually happens, identify where AI can materially improve it, rapidly put solutions in front of users, and partner with senior Global Markets quants and technology teams on governance, productionisation and scale.
This is a role for someone who likes interpreting and doing, not consulting and enabling from the sidelines.
What you will do
- Embed with Distribution desks. Understand how work actually happens, map workflows end to end, identify friction and waste, and prioritise opportunities against the seven pillars of the Global Markets Sales strategy.
- Build quickly. Use the bank's existing AI and low-code capabilities to automate workflows and get useful solutions in front of users in days rather than months. The objective is not to build bespoke software where an existing tool can solve the problem.
- Redesign before you automate. Challenge unnecessary steps, hand-offs and duplication rather than simply using AI to automate an inefficient process.
- Own the dependencies. Identify the APIs, data and entitlements required for your solutions, specify what is needed clearly, and drive those requirements through to delivery.
- Design for compliant AI. Understand the architectural and governance considerations around AI systems and ensure solutions operate within the bank's AI, data, risk and control frameworks.
- Unlock the right data. Recommend how each desk should organise and access its information to enable AI use cases while adhering to the bank's need-to-know framework.
- Know what not to build. Solve problems directly where the available tools allow it. Where a requirement genuinely needs strategic engineering, route it to Quant or Technology with a well-defined problem statement, requirements and expected business outcome.
- Drive adoption, not just delivery. Train users, observe how solutions perform in real workflows, iterate quickly, spread successful patterns across desks, and make sure what you build is still being used a month later.
- Scale what works. Spot recurring problems across products, regions and desks and turn successful local solutions into reusable capabilities.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
The team
This role sits at the intersection of Global Markets Distribution, Quantitative Engineering and regional Sales, with connectivity to the senior leaders responsible for each.
It is an embedded, front-office role. Success is measured not by recommendations or prototypes alone, but by whether better ways of working make it into the hands of users and stay there.
Your skills and experience
You bring:
- Real curiosity about AI. You actively use today's AI tools and have a practical understanding of where they are powerful, where they fail, and where human judgement still matters.
- Hands-on building ability. Experience with AI and low-code tooling such as Cowork, Copilot Studio or similar platforms, plus the appetite to master the next tool just as quickly.
- A process engineer's mindset. You can take a workflow apart, identify its constraints and inefficiencies, and redesign it rather than simply automating the existing mess.
- Strong communication skills. You can earn the trust of busy front-office professionals, ask incisive questions and explain technology without hiding behind jargon.
- Exceptional learning velocity. A new desk, asset class, dataset or tool should take you days to begin understanding, not months.
- Technical fluency. You are comfortable working with data, understanding system interactions, scoping an API and building a working prototype. Deep software-engineering experience is welcome, but it is not the purpose of the role.
- Commercial judgement. You can distinguish an interesting problem from a valuable one, prioritise ruthlessly, and say no or redirect work when that is the right answer.
- Financial markets exposure. Financial-services experience is additive but not essential.
- You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
You are:
- Practical, focused and biased toward action.
- Comfortable operating on a busy trading floor and communicating with people at every level.
- Curious about how the business works, not simply about the technology.
- A fast learner who is comfortable with ambiguity and incomplete information.
- Able to work independently while thriving in a highly collaborative environment.
- Comfortable balancing speed and innovation with the governance standards of a regulated institution.
- Motivated by seeing something you built change how people actually work.
What success looks like
You will know you are succeeding when:
- Front-office users come to you with problems, not specifications.
- Useful solutions reach users in days or weeks, not quarters.
- You eliminate work rather than simply making existing steps faster.
- The things you build are actually adopted and remain in use.
- Successful solutions spread from one desk to another.
- Strategic engineering teams receive better-defined problems because of your work.
- AI becomes part of how Distribution operates, rather than a separate technology initiative.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
Salary information
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 145000 - max USD 172500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
See all 46+ Forward Deployed AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Forward Deployed AI Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Forward Deployed AI Engineer
Frame your degree for specialty occupation
USCIS requires a direct link between your degree field and the role. A computer science or AI degree maps cleanly, but a general engineering degree needs supporting coursework or experience documentation to satisfy the specialty occupation definition for this title.
Search LCA filings for active sponsors
Use the OFLC Wage Search to identify employers who have filed LCAs specifically for AI engineer roles. Companies filing repeatedly in this category signal an active, practiced sponsorship pipeline rather than a one-off hire.
Target companies with dedicated AI deployment teams
Forward deployment is a distinct function from core ML research. Prioritize employers whose job descriptions reference on-site client integration, enterprise deployment, or field engineering, these are the teams most likely to build a visa sponsorship case around your specialization.
Find verified sponsors on Migrate Mate
Filter your job search to employers with confirmed LCA sponsorship history for AI and software engineering roles. Migrate Mate surfaces this verification so you're not guessing which companies will actually file when an offer is extended.
Get the prevailing wage tier confirmed before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your location and role. Check the OFLC Wage Search for the Level II or Level III threshold before entering salary discussions so you can negotiate from an informed baseline.
Clarify O*NET alignment during the offer stage
Ask your recruiting or HR contact which O*NET occupation code they intend to use on the LCA. Misalignment between your actual duties and the coded occupation is a common RFE trigger that slows USCIS adjudication and can complicate your start date.
Frequently Asked Questions
Does a Forward Deployed AI Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates specialty occupation based on whether the role normally requires at least a bachelor's degree in a directly related field. Forward Deployed AI Engineer positions typically require a degree in computer science, AI, machine learning, or a closely related discipline. If your job description includes model deployment, client-facing integration, or systems architecture, that specificity strengthens the specialty occupation argument considerably.
Which visa types realistically cover Forward Deployed AI Engineer roles?
H-1B is the most common path for this role, covering initial status of up to three years, extendable to six. Australian nationals can pursue the E-3 visa, which has no lottery and renews indefinitely in two-year increments. Chilean and Singaporean nationals may qualify for the H-1B1 visa, which also skips the H-1B lottery. All three require a Labor Condition Application filed by the employer before the visa process begins.
How do I find employers who actively sponsor visas for this role?
Migrate Mate lists employers with verified LCA sponsorship history for AI and software engineering roles, searchable by location and job type. This is the most direct way to identify companies that have already committed to sponsoring candidates in this field, rather than approaching employers who may be unfamiliar with the filing process.
Does the client-facing or travel-intensive nature of the role create any visa complications?
It can. If your work involves extended on-site time at client locations in different metropolitan statistical areas, your employer may need to file additional LCA notifications for each worksite. USCIS and DOL treat this as a compliance matter, not a disqualifying one, but employers unfamiliar with multi-site LCA obligations sometimes get RFEs or audits. Confirm your employer understands worksite posting requirements before accepting an offer.
What degree fields best support a Forward Deployed AI Engineer sponsorship case?
Computer science, electrical engineering, AI or machine learning, and software engineering all map directly to this role. Applied mathematics and data science degrees can also qualify if the coursework covers neural networks, optimization, or systems programming. A degree in a loosely related field, such as general business or liberal arts, will require substantial additional evidence to satisfy USCIS's specialty occupation standard for this title.
What is the prevailing wage requirement for sponsored Forward Deployed AI 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.