Forward‑Deployed AI Engineer for Enterprise Impact

RAMP; New York; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment ordering

Health and wellness stipend

Travel budget

Weekly coffee stipend

In‑office perks: lunch, snacks, drinks

Job summary

Ramp is seeking a software engineer on the AI Solutions team to co-lead customer engagements with an AI Solutions Strategist. You will own technical discovery, solution design, prototyping, implementation, and production readiness while working closely with customers and end users.

This client-facing role emphasizes translating business goals into system requirements, building secure, scalable architectures, and delivering production-quality workflows that integrate Ramp capabilities with

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.
• Strong coding ability in 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.

Responsibilities

• 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.

Skills

Production software shipping

Enterprise customer engagement

Solutions architecture

ML/GenAI fundamentals

Python/TypeScript/Java/Go

Secure, scalable systems design

APIs & data pipelines

Cloud architecture (AWS/GCP/Azure)

LLM systems (RAG, agents, evals)

Willingness to travel ~75%

Finance ops familiarity (nice to have)

Job description

Ramp is seeking a software engineer on the AI Solutions team to co-lead customer engagements with an AI Solutions Strategist. You will own technical discovery, solution design, prototyping, implementation, and production readiness while working closely with customers and end users.

This client-facing role emphasizes translating business goals into system requirements, building secure, scalable architectures, and delivering production-quality workflows that integrate Ramp capabilities with