AI Software Developer Visa Sponsorship Jobs in New York
New York is one of the most active markets for AI software developer visa sponsorship in the United States. Major employers include Google, Amazon, Microsoft, IBM, and a dense cluster of fintech and AI startups concentrated in Manhattan and Brooklyn. Companies here regularly sponsor H-1B visa and O-1 visas for qualified AI engineering talent.
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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
AI Software Developer Job Roles in New York
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Search AI Software Developer Jobs in New YorkAI Software Developer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI software developers in New York?
Large technology employers with significant New York offices, including Google, Amazon Web Services, Microsoft, IBM, and Meta, have consistent track records of H-1B sponsorship for AI software developer roles. Beyond big tech, Wall Street firms like JPMorgan Chase and Goldman Sachs actively hire AI engineers and sponsor visas, as do AI-focused startups and research labs concentrated in Manhattan's Flatiron and Midtown neighborhoods.
Which visa types are most common for AI software developer roles in New York?
The H-1B is the most commonly used visa for AI software developers in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. The O-1A is another option for candidates with recognized accomplishments, such as published research or notable contributions to AI systems. Candidates already in F-1 OPT status with a STEM extension can work for up to three years before needing H-1B sponsorship.
Which cities in New York have the most AI software developer sponsorship jobs?
New York City, specifically Manhattan, accounts for the overwhelming majority of AI software developer sponsorship opportunities in the state. The Flatiron District, Midtown, and Hudson Square have the highest concentration of tech employers and AI startups. Brooklyn's DUMBO neighborhood also hosts a growing number of AI-focused companies. Outside New York City, opportunities are considerably more limited, though IBM's research presence in the Hudson Valley represents a notable exception.
How to find ai software developer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles in the United States, including AI software developer positions in New York. You can filter directly by state and role to see employers actively hiring and sponsoring visas in this market. Because AI developer roles in New York attract high competition, filtering for sponsorship-confirmed listings on Migrate Mate helps narrow your search to employers already open to international candidates.
Are there any New York-specific considerations for AI software developers seeking visa sponsorship?
New York employers filing H-1B Labor Condition Applications must pay the prevailing wage for the specific AI software developer role and geographic area, which is determined by the Department of Labor and reflects New York City's higher cost of labor compared to most other U.S. markets. New York's strong university pipeline, including NYU's Courant Institute, Columbia Engineering, and Cornell Tech on Roosevelt Island, means employers are accustomed to sponsoring international graduates and often have established immigration processes in place.
What is the prevailing wage for sponsored ai software developer 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.