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Software Engineer, Forward Deployed AI Solutions

Ramp· Engineering
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Hybrid (New York, NY (HQ))$189k - $330kFull-timePosted 2mo ago

About the role

Software engineer role on the AI Solutions team focused on co-leading customer engagements, translating business goals into technical requirements, and delivering production-ready AI-enabled workflows for enterprise customers.

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.

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 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.

Skills

Required:System requirements definitionCustomer engagementSolution architecturePrototyping / POCProgramming

Benefits

  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend
  • 100% medical, dental & vision insurance coverage for you (US) with partial coverage for dependents
  • One Medical annual membership
  • 401(k) with employer match
  • Fertility HRA (up to $10,000 per year)
  • Parental leave: up to 16 weeks or 8 weeks at 100% pay
  • Pet insurance
  • Relocation expense coverage to NYC or SF (if needed)
  • Group medical, dental, and vision coverage (Canada)
  • Life, AD&D, disability coverage (Canada)
  • Fertility drug coverage (Canada)
  • Group Retirement Plan with employer match (Canada)
  • Employee Assistance Program and virtual care (Canada)
  • Private medical insurance (UK)
  • Virtual GP and at-home care (UK)
  • Workplace pension with salary sacrifice (UK)
  • Parental leave: up to 16 weeks or 8 weeks at 100% pay (UK)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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