# Software Engineer, AI Solutions

**Company:** [Ramp](https://hotfix.jobs/companies/ramp)
**Location:** New York, NY
**Role:** Solutions Architecture
**Salary:** $189k – $330k/yr
**Experience:** 5+ years
**Skills:** Python, TypeScript, JavaScript, Java, Go, AWS, GCP, Azure, LLMs, RAG, Machine Learning, Generative AI, APIs, Distributed Systems
**Posted:** 2026-07-28

> Software engineer on Ramp's AI Solutions team co-leads customer engagements, owning technical discovery, solution design, prototyping, implementation, and production readiness for GenAI/LLM workflows. Deeply client-facing role requiring strong ML/GenAI fundamentals, solutions architecture experience, and up to 75% travel.

## Job Description

## 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/auditability, evaluation plan covering quality metrics/acceptance tests/red-teaming, operational plan covering monitoring/alerting/incident response/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.

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