AI Engineer – Global Operations

Iron Mountain

AI Engineer at Iron Mountain developing production-ready Machine Learning models. Optimizing logistics workflows and collaborating with Finance and IT teams for improved operations.

Posted 5/19/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $107,500 - $143,300 per yearWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Develop End-to-End AI Solutions: Design, build, and monitor production-ready Machine Learning models and automated agents.
Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust ETL pipelines.
Govern AI Safety and Compliance: Ensure the responsible deployment of all systems by performing rigorous model validation.

Requirements

What you’ll need

5+ years of applied experience in Artificial Intelligence/Machine Learning engineering or advanced analytics.
Advanced technical expertise in Python and SQL.
Proven experience scaling "agentic" workflows and Retrieval-Augmented Generation (RAG) solutions using platforms like LangChain or n8n.
Proven ability in strategic problem-solving and rapid prototyping.
A Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Engineering, or Mathematics.
United States Citizenship is required.

Benefits

Comp & perks

Competitive compensation and benefits aligned with your experience level.
Flexible work options to support a healthy work–life balance.
Comprehensive health, wellness, and retirement plans to support your long-term well-being.
Opportunities for continuous learning and professional growth in a cutting-edge technical environment.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Artificial IntelligenceMachine LearningPythonSQLETL pipelinesRetrieval-Augmented GenerationLangChainn8nmodel validationadvanced analytics

Soft Skills

strategic problem-solvingrapid prototypingcollaboration