Enterprise AI Solutions Engineer

Fdetimes; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment ordering

Health and wellness stipend

Budget for intra-office travel

Weekly coffee stipend

Job summary

Ramp is seeking a software engineer on the AI Solutions team to co-lead client engagements, design and prototype solutions, and drive production readiness. You will work closely with an AI Solutions Strategist to translate business goals into technical architectures and executable plans, balancing security, scalability, and customer needs.

You will spend substantial time with customers, moving projects from discovery to deployment, and ensuring measurable impact and adoption across client teams.

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

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

Programming languages (Python/TypeSct/

Job description

Ramp is seeking a software engineer on the AI Solutions team to co-lead client engagements, design and prototype solutions, and drive production readiness. You will work closely with an AI Solutions Strategist to translate business goals into technical architectures and executable plans, balancing security, scalability, and customer needs.

You will spend substantial time with customers, moving projects from discovery to deployment, and ensuring measurable impact and adoption across client teams.