Software Engineer (Forward Deployed AI)

• As a software engineer on the AI Soltuions 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
• 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

Benefits

• Comprehensive medical, dental, and vision insurance
• One Medical Membership
• 401(k) including an employer match
• Parental leave
• Monthly wellness stipend
• Unlimited PTO
• Pet Insurance
• WFH stipend
• Relocation support to move to NYC- Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting
• Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs
• Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering
• Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure
• Experience shipping production software in high-ownership environments
• Ability to design secure, scalable systems and produce clear technical documentation
• 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
• Ability to work directly with enterprise customers from discovery through production implementation
• Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar
• Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns