Solutions Architect, NYC

present of AI; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Exa is seeking a mid-level Customer & Solutions professional in New York City to join the technical side of a sales team for a search API used by AI builders. The role requires hands-on coding to build demos and run proofs of concept end-to-end, plus conducting discovery calls, designing evaluations, and arguing the technical case against rivals.

The candidate should pair on-engineering with presales experience in a developer tools or AI company, speaking to engineers and executives alike.

Qualifications

• Experience building demos and proofs of concept end-to-end.
• Experience running discovery calls and designing evaluations.
• Ability to argue the technical case against competitors.

Responsibilities

• Build demos and PoCs end-to-end and demonstrate technical capabilities.
• Run discovery calls, design evaluations, and articulate value to stakeholders.
• Engage with both engineers and executives to position the product.

Skills

Hands on coding demos

PoC design

LLM and RAG building

Clear technical communication

Presales experience

Job description

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.