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NEXTMOVEFDE careers · United States

Forward Deployed Engineer

AI summary of the role

Forward Deployed Engineer at Nevis, an AI wealth management platform with $50B+ AUM, to own technical side of enterprise deployments for large wealth management firms.

What you’ll do

  • Own technical side of enterprise deployments end to end, from scoping through go-live and expansion
  • Be the customer's main technical point of contact, working with their engineers, operations, and leadership
  • Design and deliver integrations and data flows, and configure/deploy AI agents and workflows in production
  • Build prototypes and demos fast to show customers what's possible

What you’ll bring

  • 3+ years in forward deployed, solutions engineering, or similar customer-facing engineering role
  • Strong engineering skills: Python and SQL second nature, comfortable with APIs and messy data
  • Experience putting LLMs and agentic tooling into production
  • Excellent communication with non-engineers, able to explain technical tradeoffs to executives

Technologies

Python · SQL · LLMs · agentic tooling · Claude · ChatGPT · Cursor · data integration · APIs

Source and classification

Implementation & delivery · Evidence for this classification:

About Nevis Nevis is building the world’s first AI wealth management platform. In just 9 months, Nevis has grown to have over $50 billion of assets under management on its platform and is on track to have over $100 billion by the end of this year. Nevis is also backed by world leading investors and has raised a total of $40 million from Sequoia Capital, ICONIQ and Ribbit. Together it makes Nevis one of the highest funded and fastest growing Series A startups in Europe. 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
More from the job description

About Nevis Nevis is building the world’s first AI wealth management platform. In just 9 months, Nevis has grown to have over $50 billion of assets under management on its platform and is on track to have over $100 billion by the end of this year. Nevis is also backed by world leading investors and has raised a total of $40 million from Sequoia Capital, ICONIQ and Ribbit. Together it makes Nevis one of the highest funded and fastest growing Series A startups in Europe. 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 whe [... source excerpt omitted ...] 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 [... source excerpt omitted ...] rototypes 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 enginee

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