Forward Deployed Engineer

HighRadius•Houston, TX

10d•Onsite

About The Position

As a Forward Deployed Engineer (FDE) at HighRadius, you are the bridge between our AI platform and the world’s largest enterprise finance departments. You will be "deployed" to solve financial challenges using Autonomous AI Agents. You will own the end-to-end technical lifecycle from analyzing client datasets to configuring proprietary algorithms that automate financial transactions. The "Build & Deploy" Cycle involves Data Intelligence (using AI agents to process large data sets to uncover hidden patterns in the client’s Order-to-Cash (O2C) process and design the future-state architecture), AI Strategy & Design (identifying and iterating on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design, and defining Key Performance Indicators (KPIs) and target metrics that will prove the ROI of the solution), Algo Configuration (hands-on configuration of the Autonomous Platform to deploy algorithms, and architecting and configuring data interfaces between the SaaS platform and major Enterprise Resource Planning (ERP) systems like SAP, Oracle, or NetSuite), and Launch & Value Delivery (leading onsite client testing and training sessions to ensure technical readiness, and driving the final deployment and stabilization phase, ensuring the AI is hitting the target KPIs and delivering measurable financial value).

Requirements

Graduating Class of 2025/2026, pursuing a Bachelor’s or Master’s degree preferably in Industrial Engineering, MIS or Data Science related field.
Excellent communication skills
Ability to align diverse stakeholders on a technical vision
Willingness to travel to client sites across the US as part of project implementations.

Nice To Haves

Data analysis
Designing and configuring agents
Leading a meeting with Finance Managers and Subject matter experts
Using the value vs complexity matrix to identify solutions and solve problems
Bias for action
Radical ownership of projects
Desire to work in a fast-paced SaaS environment

Responsibilities

Run Customer Engagements
Deploy Agents
Analyze client datasets
Configure proprietary algorithms
Process large data sets to uncover hidden patterns in the client’s Order-to-Cash (O2C) process
Design the future-state architecture
Identify and iterate on AI algorithms based on client feedback
Define the Key Performance Indicators (KPIs) and target metrics
Hands-on configuration of the Autonomous Platform to deploy algorithms
Architect and configure data interfaces between the SaaS platform and major Enterprise Resource Planning (ERP) systems (like SAP, Oracle, or NetSuite)
Lead onsite client testing and training sessions
Drive the final deployment and stabilization phase