Software Engineer, Forward Deployed AI Solutions

FDE Times; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment ordering

Health and wellness stipend

Relocation support to NYC or SF

Intra-office travel budget

Weekly coffee stipend

Job summary

Ramp is seeking a software engineer on the AI Solutions team to co‑lead customer engagements and deliver production‑grade AI workflows for finance customers.

You will translate customer goals into robust system designs, partner with clients to understand workflows, and drive from discovery to launch while ensuring security, scalability, and measurable outcomes.

Qualifications

• 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.

Responsibilities

• Translate customer goals into clear system requirements covering security, privacy, reliability, performance, scalability, and cost.
• Partner directly with customers to understand workflows, constraints, systems, data quality, and blockers.
• Create and maintain solution architecture artifacts (system context, data flow diagrams).
• Draft integration plans across Ramp and customer systems.
• Develop security models, access patterns, and auditability considerations.
• Define evaluation plans with quality metrics, acceptance tests, and red-teaming.
• Plan operations: monitoring, alerting, incident response, and runbooks.
• Leverage Ramp primitives to build efficiently and reuse product capabilities.
• Prototype and validate workflows with end users to de-risk approaches and prove PMF.
• Drive projects from discovery through production launch and handoff.

Skills

Production software

Enterprise customer collaboration

Solutions architecture

ML/GenAI fundamentals

Programming (Python/TypeScript/Java/Go

Secure, scalable systems

APIs, data pipelines, cloud infra

LLM systems (RAG, agents)

Travel up to 50%

Tools

AWS

GCP

Azure

Job description

Job Description

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 $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 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 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&DD, 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

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