Software Engineer, Forward Deployed AI Solutions
Ramp · New York, NY (HQ)
- Location
- New York, NY (HQ)
- Workplace
- Remote
- Employment
- Full time
- Level
- Mid level
- Posted
- 7 weeks ago
About this 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 Soltuions 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.
As published by Ramp. Applications are handled on their site.
Skills this posting mentions
About Ramp
Ramp is an all-in-one financial operations platform designed to save businesses time and money. Combining corporate cards, expense management, bill payments, accounting automation, procurement, travel, treasury, and more, Ramp empowers finance teams to do their best work. More than 70,000 companies, from family-owned farms to space startups, have saved $10B and 27.5M hours with Ramp since its founding in 2019. Investors include Founders Fund, Thrive Capital, Khosla Ventures, Sequoia, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies - Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One - as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies. Visit our website for a full list of US state licenses & disclosures: https://ramp.com/legal/state-disclosures
All 148 openings at RampOne click, then it is written
Apply to Ramp with a resume written for this role.
Queue Software Engineer, Forward Deployed AI Solutions and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Ramp’s form for you.
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
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