Software Engineer, Forward Deployed AI Solutions
Ramp is hiring a Software Engineer, Forward Deployed AI Solutions for a remote role open to applicants in United States. It pays $189k-$330k a year and Level rates it ; you can apply on Ramp.
Level's read on this job
- Level rates this forward deployed engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts in line with the typical forward deployed engineer posting on Level.
- This is listed as a remote role.
- The posting mentions RAG among its tools and skills.
- Ramp has 166 other open roles on Level.
AI in this role
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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 RoleAs 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 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 expense coverage to NYC or SF (if 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.
How we rate this
Software Engineer, Forward Deployed AI Solutions at Ramp rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- This job starts at
- $189k
- Typical forward deployed engineer job
- $182k
This posting starts close to the typical forward deployed engineer job. See forward deployed engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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