Artificial Intelligence H-1B1 Singapore Sponsorship Jobs in New York
H-1B1 Singapore visa sponsorship jobs in artificial intelligence are concentrated in New York City, where firms like Google, IBM, and a growing cluster of AI-focused startups in Manhattan and Brooklyn actively file Labor Condition Applications for machine learning, NLP, and data science roles. New York's finance and media sectors add distinctive AI demand not found in other tech hubs.
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Get Access To All JobsAbout the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.
You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.
This role does not require travel.
It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically < 10%, with occasional spikes for key embeds or launches.
In this role you will
Provide hands-on leverage to customer pods:
embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.
Turn repeated signals into platform bets:
translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.
Raise the engineering bar through tooling and mentorship:
set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.
Collaborate as part of cross-functional platform teams:
partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.
Lead complex platform capabilities end-to-end when needed:
for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.
You might thrive in this role if you
Bring
5+ years of software engineering or ML engineering experience
with a track record of
shipping 0→1 capabilities
that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.
Have owned
customer-adjacent technical work
end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).
Have built or operated systems where
reliability, security, and governance
materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).
Communicate clearly across
engineering, product, go-to-market, and executive audiences
, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.
Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable
product requirements and reusable platform capabilities,
not one-off fixes or bespoke delivery work.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$230K – $385K
About the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.
You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.
This role does not require travel.
It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically < 10%, with occasional spikes for key embeds or launches.
In this role you will
Provide hands-on leverage to customer pods:
embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.
Turn repeated signals into platform bets:
translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.
Raise the engineering bar through tooling and mentorship:
set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.
Collaborate as part of cross-functional platform teams:
partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.
Lead complex platform capabilities end-to-end when needed:
for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.
You might thrive in this role if you
Bring
5+ years of software engineering or ML engineering experience
with a track record of
shipping 0→1 capabilities
that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.
Have owned
customer-adjacent technical work
end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).
Have built or operated systems where
reliability, security, and governance
materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).
Communicate clearly across
engineering, product, go-to-market, and executive audiences
, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.
Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable
product requirements and reusable platform capabilities,
not one-off fixes or bespoke delivery work.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$230K – $385K
Artificial Intelligence Job Roles in New York
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Search Artificial Intelligence Jobs in New YorkArtificial Intelligence Jobs in New York: Frequently Asked Questions
Which artificial intelligence companies sponsor H-1B1 Singapore visas in New York?
Major sponsors of AI roles in New York include large technology employers such as Google, IBM, Microsoft, and Amazon Web Services, as well as financial institutions like JPMorgan Chase and Goldman Sachs that run substantial machine learning and quantitative research teams. AI-native companies and healthtech firms headquartered in Manhattan and Brooklyn also appear regularly in DOL Labor Condition Application disclosure data for H-1B1 visa filings.
Which cities in New York have the most artificial intelligence H-1B1 Singapore sponsorship jobs?
New York City accounts for the overwhelming majority of AI H-1B1 Singapore sponsorship activity in the state, with Midtown Manhattan, the Flatiron District, and Hudson Yards hosting the densest concentration of tech and finance employers filing LCAs for AI roles. Buffalo and Albany have smaller but growing AI presences tied to university research partnerships and state economic development initiatives, though sponsoring employers there are fewer.
What types of artificial intelligence roles typically qualify for H-1B1 Singapore sponsorship?
Roles that commonly qualify include machine learning engineer, data scientist, NLP engineer, computer vision researcher, AI product manager, and MLOps engineer. Each must meet the H-1B1 specialty occupation standard, meaning the position normally requires at least a bachelor's degree in a directly related field such as computer science, statistics, or electrical engineering. Generalist or non-technical AI roles without that degree requirement typically do not qualify.
How do I find artificial intelligence H-1B1 Singapore sponsorship jobs in New York?
Migrate Mate lets you filter specifically for H-1B1 Singapore-sponsoring employers advertising AI roles in New York, drawing on verified DOL Labor Condition Application filing history so you can see which companies have actually sponsored the visa category before. Searching by occupation and location on Migrate Mate narrows results to employers with a demonstrated record of H-1B1 Singapore filings for machine learning, data science, and related AI positions in the New York market.
Are there any New York-specific considerations for AI professionals seeking H-1B1 Singapore sponsorship?
New York City's salary transparency law requires many employers to post pay ranges for advertised roles, which makes it easier to assess whether an offered salary meets DOL prevailing wage requirements before applying. AI roles in New York's finance sector may also involve additional background screening timelines. Singaporean nationals on H-1B1 status should confirm with their employer that the LCA wage level corresponds to their specific job duties and work location, since New York City often falls under a higher prevailing wage tier than upstate locations.
What is the prevailing wage for H-1B1 Singapore artificial intelligence jobs in New York?
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.