Digital Transformation Internship - AI & Apptio Tools

Description du poste:

Introduction

The IBM CIO Office is seeking a dynamic and innovative intern to support our Technology Business Management (TBM) initiatives through Apptio implementation and AI agent development. This internship offers a unique opportunity to work at the intersection of IT financial management and emerging AI technologies, contributing to IBM's internal digital transformation.

Your role and responsibilities

* Assist in the implementation and configuration of Apptio modules including Apptio Costing, Apptio Planning and Targetprocess
* Support data integration, modeling, and validation efforts to ensure accurate and actionable insights
* Collaborate with cross-functional teams to gather business requirements and translate them into Apptio dashboards and reports
* Design and prototype AI agents to automate TBM workflows, enhance data analysis, and improve stakeholder engagement
* Explore and apply AI/ML techniques for forecasting, anomaly detection, and optimization within IT financial management
* Document technical processes, configurations, and learnings to support scalability and knowledge sharing

Required education
High School Diploma/GED

Preferred education
Bachelor's Degree

Required technical and professional expertise

* Currently pursuing a degree in Computer Science, Information Systems, Data Science, or a related field
* Strong analytical and problem-solving skills with attention to detail
* Experience with Python or JavaScript; familiarity with APIs and automation frameworks
* Exposure to AI/ML tools such as LangChain, Hugging Face, or OpenAI APIs
* Excellent communication and collaboration skills
* Interest in IT financial management, enterprise architecture, or cloud cost optimization

Preferred technical and professional experience

* Familiarity with Apptio or TBM concepts
* Experience with Milvus
* Experience working with enterprise data platforms or cloud environments (AWS, Azure, GCP)
* Understanding of agile methodologies and enterprise IT operatio