Engineering and plant lifecycle services with embedded data and AI capabilities
ECI Group is a multi-disciplined engineering firm built around plant design, procurement, construction management, and technical staffing across industrial sectors. The tech stack reveals an unusually heavy data and AI investment for a traditional engineering services company: Databricks, PySpark, LangGraph, MLflow, and MATLAB sit alongside SAP, Ariba, and Oracle — combined with active projects in ETRM (Energy Trading and Risk Management) systems, LLM agentic workflows, and AI-driven analytics. The hiring mix is senior-heavy engineering (12 of 15 open roles), suggesting they're scaling deep technical capacity rather than client-facing staff.
ECI Group comprises three entities—Engineers and Constructors International (ECI), Simon Carves Engineering (SCEL), and the International Technical Excellence Center (ITEC)—collectively offering 145 years of combined operational history. The firm serves clients and operators globally with services spanning conceptual process design, detailed engineering, procurement, construction management (EPCm), and plant personnel staffing. Projects range from small maintenance and revamp work to large greenfield facility builds. The company operates from Baton Rouge, Louisiana, with 51–200 employees and is privately held.
ECI Group uses SAP, Ariba, Fieldglass, and OpenLink Endur for enterprise operations; Databricks, PySpark, and Apache Spark for data pipelines; React, Python, Node.js, and C# for application development; and MATLAB for technical modeling.
Active projects include a global ETRM solution on Azure, LLM agentic workflows, reusable data pipelines in Databricks, AI-driven analytics for front office, and system enhancements to Endur and operational data warehouses.
ECI Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.