Solutions Architect, NYC

Customer & Solutions · New York City · FullTime · Mid level

This role is the technical half of a sales team for a search API aimed at AI builders. It asks for someone who can code well enough to build demos and run proofs of concept end to end, and who can also run discovery calls, design evaluations, and argue the technical case against rivals. A strong candidate pairs hands on engineering with a few years of presales work at a developer tools or AI company, and can talk to both engineers and executives.

How it fits the AI era

The product itself serves AI models and agents, so the work sits close to how teams build with retrieval and large language models. Much of the demo and prototype building can be sped up with AI coding tools, which raises the bar for how fast and tailored each proof of concept must be. What stays human is judgment about where the product fits a customer's architecture, running a fair head to head evaluation, and earning trust in the room.

How it builds AI experience

Working here means daily contact with how AI teams wire search into agents and retrieval pipelines, so the role builds real fluency in retrieval quality, latency, and cost tradeoffs. A candidate can prepare by building small retrieval or agent projects, running their own evaluations, and learning to explain search quality clearly. That hands on proof matters more than certificates.

Worth showing

• Hands on coding demos
• Proof of concept design
• LLM and RAG building
• Clear technical communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Exa

Exa is an applied AI lab that builds a search engine and API for AI models and agents, per the company.