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Project Manager Intern (Research Triangle Park)

IBMResearch Triangle Park, NCPosted 1 month ago

Pay
Not listed
The posting doesn't say
Type
Internship
Full time
Where
Research Triangle Park, NC
Who
Bachelor's or Master's
Students
Apply by
Nov 28, 2026
Date from the posting

Job Description

As an AI Technical, you will specialize in computer science, software development, and/or data science to help IBM partners deploy and adopt IBM's software portfolio. You will work closely with partners, product managers, and development teams to understand partner business requirements and implement solutions that address complex business challenges with IBM software products, with a primary focus on watsonx offerings.

With a hands-on approach to installing, coding, demonstrations, and communicating, you will showcase IBM solutions as a product SME. You will design and articulate architectures compatible with a partner's technology stack via use-case identification, solution architecture design, and MVP builds. With technical expertise and a consultative style, you'll quickly build credibility as a trusted advisor at all levels with partners and IBM colleagues.

To drive expansion and renewal growth, you'll guide leading enterprise companies through AI approaches that realize the full value of their IBM investments. Your primary responsibilities include, but are not limited to:

  • Understanding an IBM Partner's technical needs: Establish yourself as a trusted technical expert for their migration, deployment, and adoption of IBM's AI and Hybrid Cloud offerings.
  • Developing AI Solutions: Use your engineering skills to code and build MVPs using Python, open source frameworks, RedHat, and the IBM product portfolio (learn on the job). These solution demos can also be packaged as assets on a portal for engaging partners through a Digital channel.
  • Leading Persuasive Technical Conversations: Lead technical discussions that persuade partners to act based on their requirements and the value provided by IBM's solutions.
  • Deploying and Developing Enterprise Applications: Perform hands-on engineering activities to install, develop, train, deploy, configure, and run the latest IBM AI technologies in a partner's dev or production environment.
  • Contributing to Use Case Exploration and Business Framing: Be a key contributor to use case exploration and business framing workshops, and develop client value realization models.

To be successful in this role, you will need:

  • Confidence to contact and engage with a partner's product engineering team and deliver an elevated experience in technical discussions around IBM AI products.
  • A desire to continually learn new technologies and how to apply their value in a client environment.
  • Motivation to achieve technical objectives and high client satisfaction.
  • Embrace curiosity and a growth mindset.
  • Technical Education: Future B.S. or M.S. degree in Computer Science, Data Science, Engineering, Information Systems, or equivalent technical degree or experience.
  • Client Focused: Ask open-ended questions and understand needs to address business challenges.
  • Tech Savvy: Be conversant about technology, latest industry trends, and how it is applied to business challenges. Hands-on development skills using Python, LLMs, and popular GenAI programming frameworks.
  • Team Player: Demonstrate team collaboration and navigate different communication styles.
  • Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling, and influential.
  • Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, plus the ability to navigate data and people to find answers and present solutions.
  • Experience with RedHat OpenShift and Kubernetes.
  • Familiarity with user experience design using software applications.
  • Experience with Machine Learning, Deep Learning, and Large Language Models.
  • Experience with Generative AI and applications that use Text2SQL and Retrieval Augmented Generation (RAG).
  • Experience with AI Operations.
  • Experience with Data Engineering techniques and Lakehouse technologies, e.g., Spark, Presto, Hive.
  • Knowledge of Unix including software installs.

Skills mentioned

  • Python
  • Spark
  • Kubernetes
  • Machine Learning
  • Deep Learning
  • LLMs
  • Redhat OpenShift
  • GenAI

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