Customer Success Engineer Intern Fall 2026

Introduction Join us as a Customer Success Engineer Intern, where you will play a crucial role in helping clients maximize the value of their IBM products while embracing innovative technologies, including AI. This exciting 16-week internship is perfect for undergraduate or graduate students graduating between May 2027 and May 2028. You must be available for full-time work (40 hours per week) during the fall semester of 2026 and not enrolled in classes during the internship. We are in search of tech-savvy individuals who are eager to merge their technical knowledge with strong interpersonal skills, forming collaborative solutions alongside customers and colleagues to tackle complex business challenges. Within IBM's dynamic Sales Co-Op Program, you will be supported by a collaborative team environment where you can thrive and develop your career. Your Role and Responsibilities As a Customer Success Engineer Intern at IBM, you will engage in various activities that enhance your skills and build strong relationships. You will work closely with clients and internal teams to identify business needs and implement effective solutions. Your role will include:

• Understanding Client's Data and AI Challenges: Build trust with clients, understand their primary Data and AI challenges, and serve as a knowledgeable expert for their migration and adoption of AI and Hybrid Cloud solutions.
• Facilitating Use Case Exploration: Lead workshops to explore use cases, fostering business development and implementing value realization models.
• Developing AI Solutions: Use your skills in Data and AI engineering to code and build MVPs using Python, open-source frameworks, RedHat, and IBM watsonx.
• Leading Technical Discussions: Engage in persuasive technical conversations that encourage clients to understand and act upon the value of IBM's solutions.
• Creating Customer Success Plans: Develop plans that aim to increase user adoption of IBM's products continually.

To excel in this position, you should possess

• Confidence: Engage potential clients effectively, ensuring a positive experience.
• Desire to Learn: An eagerness to explore new technologies and apply their benefits in client contexts.
• Motivation for Success: A drive to achieve technical goals and ensure high levels of client satisfaction.
• Curiosity: An inquisitive mindset and a willingness to grow your skillset.

You will have the opportunity to work with technologies such as Data, Artificial Intelligence, IT Automation, Cloud, and Security. This full-time, on-site position will be based in one of the following IBM offices: Brookhaven, GA, Chicago, IL, Dallas, TX, New York, NY, San Francisco, CA, and Washington, DC. You should also be prepared to travel if needed. Required Technical and Professional Expertise

• Actively Enrolled: Current undergraduate or graduate student eligible for full-time work during Fall 2026.
• Technical Education: Pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or equivalent.
• Programming Experience: Proficient in Python and familiar with notebooks.
• AI Knowledge: Background in Machine Learning, Deep Learning, and Large Language Models.
• Tool Proficiency: Skilled in Python and ML toolchains (NumPy, Pandas, Scikit-learn, Jupyter) for prototyping models.
• Model Deployment Experience: Familiar with deploying models (e.g., serving Hugging Face models via APIs) and LLM inference.
• Understanding of AI Lifecycle: Knowledge in model fine-tuning and in-context learning.
• Familiarity with Agentic AI Frameworks: Experience with frameworks like LangChain and LlamaIndex.
• Deep Learning Frameworks: Knowledge of PyTorch, TensorFlow (including Keras), and Hugging Face transformers.
• Vector Database Experience: Working knowledge of vector stores like Pinecone, Weaviate, or Milvus.
• Client-Focused Approach: Ability to understand client needs through open-ended questions.
• Tech Savvy: Up-to-date awareness of technology and industry trends.
• Collaboration Skills: Ability to work well in a team and adapt to different communication styles.
• Strong Communication: Engage clients through clear verbal and written communication.
• Self-Motivation: Initiative and problem-solving abilities to navigate challenges.

Preferred Technical and Professional Experience

• Familiarity with agile methodologies.
• Awareness of AI and data governance practices.
• Knowledge of generative AI architectures, including RAG and chatbots.
• Experience with RedHat OpenShift and Kubernetes.

IBM values a diverse workplace and is proud to be an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, or any other characteristic. IBM is committed to following fair employment practices regarding citizenship and immigration status.