Forward Deployed Engineer

The Role
We are looking for a Forward Deployed Engineer to be the technical counterpart for our customers and make sure every implementation succeeds.

When one of the largest wealth management firms in the country decides to run on Nevis, you are the engineer in the room with them. You learn how their business actually works, translate that into what we build and configure, and own the technical side of the deployment from first workshop to a platform their advisors use every day. You work with their engineers, their operations team and their vendors, and you stay their technical point of contact long after go-live.

The work spans whatever the deployment needs: integrations with the systems they already run, getting their data into our platform, configuring and deploying AI agents and workflows against their real processes, prototyping fast to show what is possible, and being the person who diagnoses it when something does not behave the way anyone expected.

You will be trusted by the customer and relied on internally, so two things have to be true at once. You have to be precise, because these firms make decisions on the numbers we show them. And you have to move fast with whatever tools get you there, because the problems are novel and nobody is handing you a specification

What You’ll Do
Own the technical side of enterprise deployments end to end, from initial scoping through go-live and expansion

Be the customer's main technical point of contact, working alongside their engineers, operations teams and leadership

Understand how each firm operates deeply enough to translate their workflows into what Nevis builds, configures and automates for them

Design and deliver the integrations and data flows a deployment depends on, working with our engineering teams to make the pipes right

Configure and deploy AI agents and automated workflows against real customer processes, and tune them until they hold up in production

Build prototypes and demos fast, so customers can see what is possible before anyone commits to building it

Diagnose and resolve technical issues in live deployments, and be honest with customers about what the platform can and cannot do

Partner with Deployment Strategists on the commercial relationship, giving them the technical grounding that wins and grows accounts

Feed what you learn in the field back into the product, shaping the roadmap so every future customer inherits it

Who You Are
You have 3+ years in a forward deployed, solutions engineering, technical implementation or similar customer-facing engineering role at a high-growth technology company

You are a strong engineer. Python and SQL are second nature, and you are comfortable working across systems, APIs and messy real-world data

You have put LLMs and agentic tooling into production, and you have judgment about where they are reliable and where they are not

You build fast. You would rather ship something working and iterate than design something perfect on paper

You are precise about numbers. You know the difference between an honest "the data cannot answer that" and a confident wrong answer, and you know which one costs more

You communicate exceptionally well with people who are not engineers. You can walk a COO through what you built and where it is weak without losing them

You have low ego and high ownership. You do what needs to be done and the outcome matters more than the credit

You are comfortable with ambiguity, and you bring clarity to unstructured problems rather than frustration

You are happy to travel and work onsite with customers

STEM degree from a top university, or equivalent demonstrated experience

Nice to Have
Prior experience in wealth management, financial services or fintec

Familiarity with the US RIA landscape, including how large advisory firms are structured, regulated and operated

Experience with data integration, pipelines or systems migration at enterprise scale

You are at the frontier of using LLM-powered workflows in your day-to-day work, with hands-on fluency across tools like Claude, ChatGPT, Cursor or similar