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RampPosted 22 days ago

Software Engineer, Forward Deployed AI Solutions

Full-time
Hybrid
Competitive
Posted 22 days ago

Ramp is hiring a Software Engineer on its AI Solutions team to lead technical discovery, solution design, prototyping, implementation, and production readiness for customer engagements. The role partners closely with customers and end users to launch reliable AI workflows and turn deployments into reusable patterns.

Posted
22 days ago
Source
jobs.ashbyhq.com
Sector
Information Technology & AI

Opens the employer's application page in a new tab

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

Preferred

  • Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting

Required skills

Cloud Architecture AWSCloud Architecture AzureCloud Architecture GCPDistributed SystemsGenerative AIGoJavaJavaScriptLLM Systems AgentsLLM Systems EvalsLLM Systems MonitoringLLM Systems RAGMachine LearningProduction Software Engineering

Full job description

Ramp is hiring a Software Engineer on its AI Solutions team to lead technical discovery, solution design, prototyping, implementation, and production readiness for customer engagements. The role partners closely with customers and end users to launch reliable AI workflows and turn deployments into reusable patterns.

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

Preferred

  • Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting
  • Finance Operations
  • Accounts Payable
  • Procurement
  • Expense Management
  • Financial Close
  • Reconciliation
  • Financial Reporting

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, with partial coverage for dependents
  • One Medical annual membership
  • 401(k), including employer match on contributions made while employed by Ramp
  • Fertility HRA (up to $10,000 per year)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
  • Pet insurance
  • In-office perks: lunch, snacks, drinks, and more
  • Relocation expense coverage to NYC or SF (if needed)

Company

  • Financial operations platform for businesses
  • New York, New York, USA
  • https://ramp.com/
  • Founded in 2019
  • 1001-5000 employees

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
  • Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting

Required skills

  • Cloud Architecture AWS, Cloud Architecture Azure, Cloud Architecture GCP, Distributed Systems, Generative AI, Go, Java, JavaScript, LLM Systems Agents, LLM Systems Evals, LLM Systems Monitoring, LLM Systems RAG, Machine Learning, Production Software Engineering, Python, Solutions Architecture, Technical Consulting, TypeScript

Job details

Employment type

Full-time

Seniority level

Not stated

Date posted

Oct 22, 2026

Work mode

Hybrid

Job source

jobs.ashbyhq.com

Company

Ramp

Information Technology & AI

Financial operations platform for businesses

See all 3 jobs from Ramp →
  • New York, New York, USA
  • Information Technology & AI
  • 1001-5000 employees
  • Founded 2019
  • ramp.com

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