New

AI Engineer

In U.s. Or Hybrid In NashvilleRemotemid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

CoreTrust helps organizations activate value faster—and get more out of every dollar they spend. Through enterprise-scale purchasing power, a curated supplier network, deep category expertise ,

Technical Tools

Machine Learning EngineerData

CoreTrust helps organizations activate value faster—and get more out of every dollar they spend. Through enterprise-scale purchasing power, a curated supplier network, deep category expertise, and data-driven insights, we enable organizations to make more informed and strategic procurement decisions, accelerate savings, and drive stronger business performance. Today, more than 4,000 organizations rely on CoreTrust to simplify sourcing, reduce complexity, and unlock measurable value across critical spend categories.

We are looking for a builder-oriented AI Engineer to design, develop, and deploy enterprise AI solutions that solve real business problems and deliver measurable value.

This role is focused on bringing AI into production – not training models or conducting research. You will work directly with business leaders to identify high-impact opportunities and translate them into scalable AI applications, including AI agents, copilots, and intelligent workflows.

Success in this role looks like AI solutions deployed into production that drive measurable business impact, strong adoption across teams, and the development of scalable, reusable capabilities embedded into CoreTrust operations.

You will leverage tools like Azure AI Foundry, Azure AI Studio, Snowflake, dbt, and workflow orchestration platforms to build solutions that integrate seamlessly into our operations and drive enterprise-wide adoption.

If you thrive in a fast-moving environment, enjoy turning ambiguity into execution, and are motivated by delivering tangible outcomes, this is a unique opportunity to shape how AI is applied across an organization.

Responsibilities

~1 min read

Build AI agents, copilots, and intelligent workflows using Azure AI Foundry and Azure AI Studio
Deliver production-ready applications, including retrieval-augmented generation (RAG) and automation tools

Partner with cross-functional stakeholders to identify, prioritize, and deliver high-value AI use cases
Focus on solutions that drive measurable ROI and operational efficiency

Connect AI solutions with enterprise data platforms, including Snowflake
Develop and manage data transformations using dbt
Embed AI capabilities into internal tools and applications via APIs

Build and orchestrate workflows using tools such as n8n or similar platforms
Improve process efficiency through intelligent automation

Deliver scalable, maintainable, and reusable solutions
Track work within agile frameworks using tools like JIRA

Requirements

~1 min read

3–7+ years of experience in AI engineering, data engineering, or software development
Hands-on experience with Azure AI Studio, Azure OpenAI, or Azure AI Foundry
Strong experience working with Snowflake and dbt
Proficiency in Python and experience building and consuming APIs
Demonstrated ability to deliver production-grade solutions