Agentic AI Intern

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 escalate 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 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 Benefits The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well‑being at the core. Depending on location and local legal requirements, your benefits package may include Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Equal Employment Opportunity and Other Statements DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. Use of Artificial Intelligence in Our Hiring Process DataRobot uses approved AI‑powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team. All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( Notice about Scams DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. #J-18808-Ljbffr DataRobot