Forward Deployed Engineer

Arthur

Location
Main (Hybrid)
Salary range
USD $170,000 – $220,000 base
Workplace
Remote
Level
Individual contributor
Job family
Engineering
Posted
3 months ago

The T&S Network estimates this role to be P3, Senior. The typical base salary for that level in Safety Engineering & Data Science is $170k to $240k. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.

Learn more about this and similar levels
Why this level

Estimated from the posting rather than stated by the employer: posts $170k to $220k base · the title reads as P2.

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The role, in T&S terms

Written by the T&S Network from Arthur's posting.

Forward deployed engineering for an AI performance and governance platform, with the engineer embedded on customer teams to build integrations, dashboards and UI that surface evals and guardrails. The role also feeds patterns from bespoke customer work back into product as reusable features.

What you'd do

  • Advise customers on agent architecture, AI best practices, emerging standards and AI initiative strategy.
  • Work with developers, product managers, security engineers and GRC analysts inside regulated enterprise environments.
  • Turn patterns seen across customer deployments into reusable primitives and features for the core product.

What it asks for

  • Strong full-stack engineering ability across infrastructure, backend services and customer-facing UI.
  • Fluency with modern AI tooling and a rigorous approach to showing that AI systems actually work.
  • Strong communication skills and ability to work independently on a customer team.
  • Prior forward-deployed, solutions engineering, consulting or embedded engineering experience (preferred).
  • Startup founding or early engineer experience (preferred).
  • Knowledge of AI monitoring, evals, tracing or guardrail tooling (preferred).
  • Experience building agents or LLM applications, including eval harnesses (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Arthur before you apply. If we got something wrong, report this listing.

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Still listed 14 hours ago

About Arthur

The employer

About Arthur

AI and model safety · Safety tooling

Company profile

Model monitoring and guardrails for teams running machine learning in production.

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