Software Engineer, AI Solutions
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.
About the job
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.
Skills
Python, TypeScript, JavaScript, Java, Go, AWS, GCP, Azure, LLMs, RAG, Machine Learning, Generative AI, APIs, Distributed Systems
Similar jobs
Solutions Architecture jobs
Ramp
San Francisco, CABuild and ship agent-driven software solutions for Ramp’s largest customers while shaping core product capabilities. The role combines end-to-end product engineering, customer-facing delivery, and collaboration across sales and post-sales teams; 3+ years of software engineering experience is preferred.
Idme
Mountain View, CA
Leads a customer-facing forward-deployed engineering team that translates integration challenges into actionable technical requirements and prioritizes customer-driven work. The role requires 5+ years of customer-facing engineering experience, 2+ years managing engineers, strong technical fluency, and excellent stakeholder communication.
OpenAI
Seattle, WALeads end-to-end deployment of frontier AI systems for strategic customers, from discovery and system design through production rollout. The role requires 5+ years of customer-facing engineering or technical deployment experience, full-stack coding ability, and experience with LLM-powered systems.
GitLab
United States
Leads and coaches a public sector Solutions Architect team while supporting strategic customer-facing pre-sales engagements. Requires team leadership experience, technical solution design expertise, cloud and software delivery knowledge, and U.S. citizenship.
Celonis
Redwood City, CA
Architects Celonis-based solutions for Oracle Cloud ERP migrations and enterprise AI adoption, leading strategic technical pursuits, migration blueprints, AI agent use cases, and Oracle field enablement. Requires Oracle ecosystem knowledge, process intelligence familiarity, and practical AI integration experience.