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HighRadius

Forward Deployed Engineer

Houston, TX, US Mid Posted April 28, 2026

Role Description

Summary -----------

  • About HighRadius: HighRadius guarantees Value Creation for the Office of the CFO with a single Agentic AI platform. The platform integrates 180+ AI agents that orchestrate end-to-end processes across Order-to-Cash, Close & Reconciliation, Consolidation & Reporting, Accounts Payable, B2B Payments, and Treasury. Each agent is tied to measurable KPIs, ensuring real outcomes in just 3–6 months across 1,300+ Global Enterprises.
  • Location: Houston, TX (HQ) - On-site | Travel: Up to 50% (Client Sites) Target Majors: Industrial Engineering, Computer Science, Data Science, or Management Information Systems (MIS).

About the Role ------------------

  • Run Customer Engagements: 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.
  • Deploy Agents: You will own the end-to-end technical lifecycle from analyzing client datasets to configuring proprietary algorithms that automate financial transactions.

Your Day-to-Day: The "Build & Deploy" Cycle --------------------------------------------------

* Data Intelligence: Use HighRadius's 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 * + Outcome-based Design: Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. + KPI Engineering: Define the Key Performance Indicators (KPIs) and target metrics that will prove the ROI of the solution. * Algo Configuration * + Platform Configuration: Hands-on configuration of the Autonomous Platform to deploy algorithms. + System Integration: Architect and configure data interfaces between the SaaS platform and major Enterprise Resource Planning (ERP) systems (like SAP, Oracle, or NetSuite). * Launch & Value Delivery * + Testing & Training: Lead onsite client testing and training sessions to ensure technical readiness. + Go-Live Execution: Drive the final deployment and stabilization phase, ensuring the AI is hitting the target KPIs and delivering measurable financial value.

Who You Are ---------------

  • Data Savvy: You love data analysis, designing and configuring agents, but you're also comfortable leading a meeting with Finance Managers and Subject matter experts.
  • Solution Expert: You will use the value vs complexity matrix to identify solutions and solve problems.
  • HighRadian DNA: You have a bias for action, radical ownership of your projects, and a desire to work in a fast-paced SaaS environment.

Requirements ----------------

  • Education: Graduating Class of 2025/2026, pursuing a Bachelor's or Master's degree preferably in Industrial Engineering, MIS or Data Science related field.
  • Soft Skills: Excellent communication and the ability to align diverse stakeholders on a technical vision.
  • Travel: Willingness to travel to client sites across the US as part of project implementations.

Why HighRadius? -------------------

  • Impact: Gain top-tier experience with a market leader in Autonomous Finance, transforming antiquated processes with AI-driven solutions. We strive to promote 35% of our talent per year, ensuring you accomplish career milestones to broaden your skillsets.
  • Culture: Join a high-growth, high-energy FinTech unicorn.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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