Jobs / United States / Ramp Business Corporation
Software Engineer, Forward Deployed AI Solutions
Ramp Business Corporation · 🇺🇸 New York, NY (HQ)
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ramp Business Corporation paid sponsored hires in similar roles28 certified filings for “Software Engineer, Backend L4” (Software Developers) in NY: $161k–$168k, median $168k. Most were filed at wage level II (86%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Ramp Business Corporation
The US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ramp Business Corporation →
About the role
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 ~50% as needed, flexible based on project needs and client needs - Nice to