远程工作雷达

软件工程师,前向部署人工智能解决方案

Software Engineer, Forward Deployed AI Solutions

AI开发工程未标注地域
公司Ramp
薪资$189,000 - $330,000
工作地点New York, NY (HQ)
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间2026-07-28
数据来源Ashby
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我们正在寻找一位软件工程师,加入AI解决方案团队。你将与AI解决方案策略师共同主导客户项目。策略师负责业务发现、ROI叙事、利益相关者对齐和部署计划。工程师负责技术发现、解决方案设计、原型开发、实施和生产准备。

这是一个高度面向客户的职位。你将花大量时间与客户和终端用户互动,推动项目从启动营和流程发现到实施、发布和稳定生产使用。

你将负责:

- 将客户目标转化为涵盖安全、隐私、可靠性、性能、可扩展性和成本的清晰系统需求和非功能性需求。

- 直接与客户合作,了解当前的工作流程、约束、系统、数据质量和采用障碍。

- 创建并维护解决方案架构文档:

- 系统上下文和数据流图

- Ramp与客户系统之间的集成计划

- 涵盖权限、访问模式和可审计性的安全模型

- 涵盖质量指标、验收测试和红队测试的评估计划

- 涵盖监控、警报、事件响应和操作手册的运营计划

- 利用核心Ramp基础组件高效构建,尽可能重用现有产品功能。

- 与终端用户进行原型开发和验证,降低方法风险并证明产品与市场契合度。

- 从启动营和技术探索阶段推动项目进展,直至实施、发布和稳定生产使用。

查看英文原文

ABOUT RAMP

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

ABOUT THE ROLE

As a software engineer on the AI Solutions 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.

WHAT YOU’LL DO

- 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.

WHAT YOU NEED

- 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.

BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)

- Flexible PTO

- Centralized home-office equipment ordering

- Health and wellness stipend

- Budget for intra-office travel

- Weekly coffee stipend

UNITED STATES

- 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)

CANADA

- Group medical, dental, and vision coverage through Sun Life

- Life, AD&D, and disability coverage

- Fertility drug coverage (up to $4,000 lifetime)

- Group Retirement Plan with employer match (RRSP + DPSP)

- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

- Employee Assistance Program and virtual care through Lumino Health

UNITED KINGDOM

- Private medical insurance through Freedom Elite

- Virtual GP and at-home care via eMed x Livi

- Workplace pension through Penfold, with salary sacrifice option

- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

REFERRAL INSTRUCTIONS

If you are being referred for the role, please contact that person to apply on your behalf.

OTHER NOTICES

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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