AI Forward Deployment Enginner

EXLUnited States,
$125,000 - $175,000

About The Position

The Forward Deployment Engineer (FDE) is the tip-of-the-spear technical role responsible for ensuring that EXLdata.ai is successfully deployed, adopted, and scaled within client environments. You will work side-by-side with client teams, product engineering, and our GenAI agent teams to deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP), resolve infra, security, and data pipeline issues in real time, customize accelerators and agent workflows for client-specific needs, drive measurable value realization from Day 1, champion product enhancements back to the EXLdata.ai engineering team, and deliver white-glove support for clients using our managed platform offering. This role is ideal for a senior data engineer who loves solving real-world problems, can operate in ambiguous conditions, learns fast, and thrives in high-impact client environments. EXLdata.ai is EXL’s flagship multi-agent orchestration platform that automates the end-to-end lifecycle of enterprise data pipelines – spanning data migration, data engineering, data quality, data governance, data ops, and unstructured data annotation. Having launched our MVP and now expanding across multiple Fortune-500 engagements, we are entering a rapid scale-up phase with two distinct delivery models: Client-Deployed Model: Deploy EXLdata.ai within the client’s own cloud (AWS/Azure/GCP) and orchestrate their pipelines using our accelerator suite. Managed Platform Model: EXL hosts EXLdata.ai in a dedicated private cloud and provides a white-glove, Data-Product-as-a-Service experience. To support this growth, we are hiring a Forward Deployment Engineer who will serve as the technical anchor at the intersection of cloud engineering, data engineering, GenAI, and client value realization.

Requirements

  • Senior data engineer
  • Loves solving real-world problems
  • Can operate in ambiguous conditions
  • Learns fast
  • Thrives in high-impact client environments
  • Cloud infrastructure deployment (AWS/Azure/GCP)
  • Infra, security, and data pipeline issue resolution
  • Accelerator and agent workflow customization
  • Client value realization
  • Product enhancement advocacy
  • Managed platform support

Responsibilities

  • Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP)
  • Resolve infra, security, and data pipeline issues in real time
  • Customize accelerators and agent workflows for client-specific needs
  • Drive measurable value realization from Day 1
  • Champion product enhancements back to the EXLdata.ai engineering team
  • Deliver white-glove support for clients using our managed platform offering
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