3 days ago

Software Engineer, Forward Deployed AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Co-lead client engagements on the AI Solutions team by partnering with an AI Solutions Strategist and owning technical discovery, solution design, prototyping, implementation, and production readiness. Translate customer goals into system and non-functional requirements, build and maintain solution architecture artifacts (including integration, security, evaluation, and operations plans), and drive deployments through launch and measurable, reliable adoption.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Translate customer goals into system and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.
•Partner with customers to understand workflows, constraints, systems, data quality, and adoption blockers.
•Create and maintain solution architecture artifacts including diagrams, integration plan, security model, evaluation plan (including acceptance tests and red-teaming), and operational plan (monitoring, alerting, incident response, runbooks).
•Leverage Ramp primitives to build efficiently and reuse existing product capabilities.
•Prototype, validate, and drive projects from discovery through implementation, production launch, operational handoff, and measurable adoption.

Travel: Extensive travel

Pay and Benefits

Salary: USD 189,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVision401kPet InsuranceParental LeaveRelocation SupportHome Office

Key Requirements

•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, or Go.

Skills:Problem decompositionEvaluationTechnical documentationSolution designPartneringIncident response

Tech Stack:PythonTypeScriptJavaScriptJavaGoAWSGCPAzureAPIsIntegrationsData pipelinesCloud infrastructureLLMRAGAgentsMonitoringEvalsSecurity modelRunbooks

Company Brief

Ramp

Provides an AI-enabled finance operations platform offering corporate cards, expense management, bill payments, procurement, travel, treasury, and automated accounting to help finance teams save time and money.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2019

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Ramp

3 days ago

Software Engineer, Forward Deployed AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Translate customer goals into system and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.
•Partner with customers to understand workflows, constraints, systems, data quality, and adoption blockers.
•Create and maintain solution architecture artifacts including diagrams, integration plan, security model, evaluation plan (including acceptance tests and red-teaming), and operational plan (monitoring, alerting, incident response, runbooks).
•Leverage Ramp primitives to build efficiently and reuse existing product capabilities.
•Prototype, validate, and drive projects from discovery through implementation, production launch, operational handoff, and measurable adoption.

Travel: Extensive travel

Pay and Benefits

Salary: USD 189,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVision401kPet InsuranceParental LeaveRelocation SupportHome Office

Key Requirements

•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, or Go.

Skills:Problem decompositionEvaluationTechnical documentationSolution designPartneringIncident response

Tech Stack:PythonTypeScriptJavaScriptJavaGoAWSGCPAzureAPIsIntegrationsData pipelinesCloud infrastructureLLMRAGAgentsMonitoringEvalsSecurity modelRunbooks

Company Brief

Ramp

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2019

Glassdoor: 4.2

Website LinkedIn Glassdoor