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techroles

Software Engineer, Forward Deployed AI Solutions

Ramp ramp.com Open · verified Oct 24, 2026
Hybrid New York Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at Ramp. New York · full-time · $189,000–$330,000 base.

SalaryStated by Ramp
$189,000 – $330,000
Base salary for this role, in USD per year, as published in the posting.
This role, from RampOur estimate for the market: $157,500–$225,000Median $190,000
The range includes the market median of $190,000 for mid-level software engineering roles in New York.
Worked out from 229 postings that stated pay, median $190,000. Last updated Oct 24, 2026.
RoleSoftware Engineering
SeniorityMid-level
LocationNew York
WorkplaceHybrid
EmploymentFull-time
Base pay$189,000–$330,000
PostedJul 28, 2026 · 2mo ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Turn customer goals into system requirements for security, privacy, reliability, performance, scale and cost
  • Learn customer workflows, constraints, systems and data quality, then map integrations and plans for security, evaluation and operations
  • Build and test workflow prototypes with end users, reusing Ramp capabilities where they meet the need
  • Move projects from technical discovery into implementation, launch and operational handoff, then support reliability and customer adoption
  • Turn deployed solutions into reusable components and playbooks for future projects

What you bring

  • You have delivered production software in a setting where you owned substantial technical work
  • You can work with enterprise customers from early discovery through implementation
  • Your background includes solution design, technical consulting, forward deployed work or pre-sales engineering
  • You bring ML and GenAI knowledge, coding ability in a listed language, and experience with cloud systems and LLM applications

Who this fits

This is a client-facing engineering role for someone who can lead technical delivery alongside an AI Solutions Strategist. It is hybrid in New York, with travel that may reach about half the time based on project and client needs.

From the employer

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 $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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 email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$180k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.