Software Engineer, Forward Deployed AI Solutions
$189k - $330k • New York, NY (HQ) • FullTime
Posted 2mo ago
About the job
As a software engineer on the AI Solutions team, you will co-lead customer engagements, taking ownership of technical discovery, solution design, prototyping, implementation, and production readiness. This is a client-facing role where you will work directly with customers and end users to move projects from initial discovery through implementation, launch, and ongoing production usage. You will translate customer goals into system requirements, design solution architectures, and ensure deployed workflows are reliable and adopted by customer teams.
Responsibilities
- Translate customer goals into clear system and non-functional requirements (security, privacy, reliability, performance, scalability, cost).
- Partner with customers to understand workflows, constraints, systems, data quality, and adoption blockers.
- Create and maintain solution architecture artifacts including system context, data flow diagrams, integration plans, security models, evaluation plans, and operational plans.
- Leverage core Ramp primitives to build efficiently and reuse existing product capabilities.
- Prototype and validate workflows with end users to de-risk approaches and prove product-market fit.
- Drive projects from 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.
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, 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.
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 (US)
- One Medical annual membership (US)
- 401(k), including employer match (US)
- Fertility HRA (up to $10,000 per year) (US)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance (US)
- In-office perks: lunch, snacks, drinks, and more (US)
- Relocation expense coverage to NYC or SF (if needed) (US)
- Group medical, dental, and vision coverage through Sun Life (Canada)
- Life, AD&D, and disability coverage (Canada)
- Fertility drug coverage (up to $4,000 lifetime) (Canada)
- Group Retirement Plan with employer match (RRSP + DPSP) (Canada)
- Employee Assistance Program and virtual care through Lumino Health (Canada)
- Private medical insurance through Freedom Elite (UK)
- Virtual GP and at-home care via eMed x Livi (UK)
- Workplace pension through Penfold, with salary sacrifice option (UK)