Agentic AI Intern

DataRobot; Washington; Remote; USD 36,000 - 58,000; Part time

Job summary

DataRobot seeks an AI Native Intern for a fully remote 6-month program embedded in engineering or product teams. You will tackle high-impact tasks, deliver meaningful outputs, and learn to build agentic AI solutions that automate processes.

Responsibilities include designing scalable AI workflows, using DataRobot AutoML/GenAI, and communicating progress weekly. Ideal candidates are pursuing degrees in CS/DS/statistics and have Python experience.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's in a quantitative field such as CS, DS, statistics or engineering.
• Proficiency in Python (pandas, numpy) and data manipulation scripting.
• Foundational ML concepts including supervised learning and model evaluation.
• Interest in autonomous agents and practical AI systems.
• Strong written and verbal communication; ability to explain tech to mixed audiences.
• Ability to work independently and manage ambiguity.

Responsibilities

• Build and deploy agentic AI workflows to automate high-volume engineering processes.
• Utilize the DataRobot platform's AutoML, GenAI, and MLOps tools to design and ship solutions.
• Translate team pain points into well-scoped AI/ML problems with clear success criteria.
• Work autonomously on defined deliverables with mentor support and weekly updates.
• Collaborate across engineering, product, and GTM teams to ensure reusable outcomes.
• Document work thoroughly for handoff and future extension.

Skills

Python

Pandas

NumPy

ML concepts

Autonomous agents

Communication

Education

Bachelor's or Master's in CS/DS/Statistics/Engineering

Tools

LangGraph

CrewAI

LlamaIndex

DataRobot platform

Job description

Job Description:

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.

WHAT YOU'LL DO:

• 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

WHAT YOU'LL LEARN:

Agentic AI & Autonomous Systems

• Design and implementation of multi-agent systems and autonomous reasoning loops
• Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents
• Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation

Platform & Product

• End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations
• How to automate the ML lifecycle from data ingestion through deployment and monitoring

Business Acumen & Use Case Development

• How to identify and size AI opportunities within real engineering workflows
• How to communicate technical findings to both technical and non-technical stakeholders

Communication & Collaboration

• Async-first collaboration using Slack, Confluence, and structured project updates
• How to present technical work clearly to senior leaders at a live Intern Showcase

PROGRAM STRUCTURE:

Phase I - Month 1: Onboarding & Foundation

Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work.

Phase II - Months 2-3: Core Project Execution

Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy.

Phase III - Months 4-6: Synthesis & Showcase

Finalize your deliverables, document your findings, and prepare for the Intern Showcase - a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need.

WHAT WE'RE LOOKING FOR:

Required:

• 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 elevate blockers appropriately

Nice to Have:

• 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 wit