AI Engineer
AI Engineer focused on building scalable AI solutions for Iron Mountain’s digital transformation initiatives, leveraging Python, machine learning, deep learning, and NLP techniques on AWS cloud platforms to enhance data extraction, analytics, and operational efficiency.
At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain .
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Job Summary
Iron Mountain is seeking a dynamic and experienced AI Engineer to join our Operations team. In this role, you will be responsible for designing and deploying production-ready Machine Learning models and Artificial Intelligence agents that optimize complex logistics workflows and drive measurable cost reductions.
You will join a high-impact team dedicated to bridging the gap between operational business challenges and scalable technical solutions, directly influencing our supply chain and field operations.
What You’ll Do
In this role, you will:
Develop End-to-End AI Solutions: Design, build, and monitor production-ready Machine Learning models and automated agents to streamline multi-step operational decision-making.
Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust Extract, Transform, Load (ETL) pipelines and integrate predictive tools into existing warehouse and logistics software.
Govern AI Safety and Compliance: Ensure the responsible deployment of all systems by performing rigorous model validation, maintaining strict data governance, and mitigating risk or bias in automated decisions.
What You’ll Bring
The ideal candidate will have:
5+ years of applied experience in Artificial Intelligence/Machine Learning engineering or advanced analytics, preferably within logistics, supply chain, or transportation industries.
Advanced technical expertise in Python and SQL, with 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, with the communication skills necessary to explain complex model outputs to non-technical business leaders.
A Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Engineering, or Mathem
Posted June 20, 2026