Software Engineer AI Visa Sponsorship Jobs in New York
New York is one of the top states for software engineer AI visa sponsorship, with major employers like Google, Amazon, Microsoft, and a dense cluster of AI-focused startups concentrated in Manhattan and Brooklyn. The city's financial sector, media companies, and research institutions also drive steady demand for AI engineering talent requiring H-1B visa and other work visa sponsorship.
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Get Access To All JobsAbout Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist. The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness.
This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage.
What You’ll Do
- Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.
- Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers.
-
Create and maintain solution architecture artifacts:
-
System context and data flow diagrams
- Integration plan across Ramp and customer systems
- Security model covering permissions, access patterns, and auditability
- Evaluation plan covering quality metrics, acceptance tests, and red-teaming
- Operational plan covering monitoring, alerting, incident response, and runbooks
- Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible.
- Prototype and validate workflows with end users to de-risk the approach and prove product-market fit.
- Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff.
- Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams.
- Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects.
What You Need
- Experience shipping production software in high-ownership environments.
- Ability to work directly with enterprise customers from discovery through production implementation.
- Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering.
- Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs.
- Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar.
- Ability to design secure, scalable systems and produce clear technical documentation.
- Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure.
- Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns.
- Experience building LLM systems, including RAG, agents, monitoring, and evals.
- Willingness to travel up to ~75% as needed, flexible based on project needs and client needs.
- Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation support to NYC or SF (as needed)
Canada
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
United Kingdom
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice
Compensation Range: $189K - $330K
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist. The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness.
This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage.
What You’ll Do
- Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.
- Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers.
-
Create and maintain solution architecture artifacts:
-
System context and data flow diagrams
- Integration plan across Ramp and customer systems
- Security model covering permissions, access patterns, and auditability
- Evaluation plan covering quality metrics, acceptance tests, and red-teaming
- Operational plan covering monitoring, alerting, incident response, and runbooks
- Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible.
- Prototype and validate workflows with end users to de-risk the approach and prove product-market fit.
- Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff.
- Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams.
- Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects.
What You Need
- Experience shipping production software in high-ownership environments.
- Ability to work directly with enterprise customers from discovery through production implementation.
- Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering.
- Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs.
- Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar.
- Ability to design secure, scalable systems and produce clear technical documentation.
- Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure.
- Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns.
- Experience building LLM systems, including RAG, agents, monitoring, and evals.
- Willingness to travel up to ~75% as needed, flexible based on project needs and client needs.
- Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation support to NYC or SF (as needed)
Canada
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
United Kingdom
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice
Compensation Range: $189K - $330K
Software Engineer AI Job Roles in New York
See all 1,525+ Software Engineer AI Jobs in New York
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Search Software Engineer AI Jobs in New YorkSoftware Engineer AI Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for software engineers in AI roles in New York?
Large tech companies with significant New York offices, including Google, Amazon, Microsoft, and IBM, are among the most active H-1B sponsors for AI engineering roles. Financial institutions like JPMorgan Chase and Goldman Sachs also hire AI engineers with visa sponsorship. Beyond that, New York's growing AI startup ecosystem, particularly in Manhattan's Flatiron District and Brooklyn, includes employers that regularly file H-1B petitions for specialized engineering talent.
Which visa types are most common for software engineer AI roles in New York?
The H-1B is the most common visa for AI software engineers in New York, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with extraordinary ability in AI research may qualify for the O-1A. Recent graduates on F-1 status often work under OPT or STEM OPT before transitioning to H-1B sponsorship. Multinational employees may also use the L-1B for specialized knowledge transfers.
How to find software engineer ai visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, and it lets you filter by both role and state, making it straightforward to browse software engineer AI jobs in New York where employers have a documented history of sponsoring work visas. Because sponsorship willingness is screened into the listings, you avoid the common frustration of applying to roles where it is never offered.
Which cities in New York have the most software engineer AI sponsorship jobs?
New York City accounts for the overwhelming majority of AI engineering sponsorship positions in the state, with Manhattan, Brooklyn, and Long Island City each hosting significant concentrations of tech employers. Midtown and the Flatiron District are particularly dense with both established tech firms and AI-focused startups. Outside the city, Albany and Buffalo have emerging tech sectors, but sponsorship volume there is substantially lower compared to the metro area.
Are there any New York-specific considerations for AI software engineers seeking visa sponsorship?
New York's Department of Labor prevailing wage determinations apply to H-1B Labor Condition Applications filed for positions in the state, and AI engineering roles typically fall into higher wage levels given the specialized skills involved. New York is also home to strong university pipelines from Columbia, NYU, and Cornell Tech, which means employers are accustomed to sponsoring international graduates. The city's competitive hiring market means sponsorship is more normalized here than in many other states, though it is never guaranteed.
What is the prevailing wage for sponsored software engineer ai 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.