Agentic AI Intern

DataRobot•Boston, ON

2d•Remote

About The Position

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. Our interns are not observers — they are contributors. Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program. This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward. As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation). You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems. This is a fully remote position. The program runs approximately 6 months.

Requirements

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
Foundational understanding of machine learning concepts — supervised learning, model evaluation, feature engineering
Deep passion for autonomous agents — you have experience building systems that "do" rather than just "chat"
Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
Ability to work independently, manage ambiguity, and escalate blockers appropriately

Nice To Haves

Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
Familiarity with the DataRobot platform or other MLOps/AutoML tools
Experience with API development (FastAPI, Flask) or containerization (Docker)
Prior internship, research, or project experience applying ML to real-world problems
Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

Responsibilities

Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
Use the DataRobot platform — including AutoML, GenAI tooling, and MLOps capabilities — to design, evaluate, and ship solutions
Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
Work autonomously on defined project deliverables while staying aligned with your mentor and team
Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
Document your work thoroughly so findings and solutions can be handed off and extended after the program