Master@IBM Werkstudenten - AI Engineer (f/m/x)

As an AI Engineer within our Client Engineering team you’ll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our watsonx platform creating 4-to-6-week pilots for clients and contributing to IBM’s story of growth and innovation.

In this role you’ll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy facilitating rapid client delivery and product innovation.

At IBM the possibilities are endless. We offer extensive onboarding and ongoing development fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team you’ll be integral in creating user-centric compelling pilots that lead clients to continually invest in IBM’s people products and services.

Your Role and Responsibilities

An AI Engineer at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx platform to co-create AI value with clients focusing on technology patterns to enhance repeatability and delight clients.

Success is our passion and your accomplishments will reflect that driving your career forward propelling your team to success and helping our clients to thrive.

Your primary responsibilities will include:

Proof of Concept (POC) Development: Develop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs ensuring alignment with customer requirements and expectations.
Collaboration and Project Management: Collaborate with cross-functional teams including data scientists software engineers and project managers to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress risks and dependencies to stakeholders.
Solution Implementation and Deployment: Oversee the implementation and deployment of AI solutions working closely with development teams to ensure adherence to best practices quality standards and performance requirements. Provide technical guidance and support during the implementation phase.
Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions including foundation models and large language models. Identify opportunities to enhance efficiency accuracy and speed through fine-tuning algorithmic improvements or infrastructure optimization.
Customer Engagement and Support: Act as a technical point of contact for customers addressing their questions concerns and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
Documentation and Knowledge Sharing: Document solution architectures design decisions implementation details and lessons learned. Create technical documentation white papers and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI foundation models and large language models. Evaluate emerging technologies tools and frameworks to assess their potential impact on solution design and implementation.

You will be given the opportunity to learn state-of-the art techniques in the field of AI and specifically Large Language Models and Ethical and Transparent AI
The chance to work on hands-on solutions and see your ideas come to life: our students are actively involved in our projects.

Reference Salary: EUR 2.39200– brutto on a full-time basis.

Required Technical and Professional Expertise

• You speak fluent German (C1) and English at B2 level or better
• You have successfully completed your bachelor’s degree in a STEM field and are currently pursuing a master’s degree
• You are passionate about technology and software solutions related to artificial intelligence and data science
• You have confident programming skills in Python and/or R
• You have taken linear algebra and probability classes achieving good grades
• Plus: A basic Knowledge of Cloud and containerization technologies

Preferred Technical and Professional Expertise

• Technical skills are not necessary but an interest to work in an technology environment is important