As an AI/ML Consultant, you will play a pivotal role in designing and delivering innovative AI and machine learning solutions that address the complex business challenges of T-Systems’ enterprise clients. Combining deep technical expertise with strong consultative skills, you’ll bridge the gap between customer requirements and robust, scalable AI architectures.

Key Responsibilities

• Collaborate directly with clients to understand business needs and translate them into AI/ML solution designs.Architect, develop, and implement end-to-end machine learning systems, with an emphasis on large language models (LLMs) and cutting-edge AI technologies
• Lead technical workshops and proofs of concept, demonstrating the value of AI/ML solutions to both technical and non-technical stakeholders
• Customize and deploy AI-driven solutions, integrating with clients’ existing IT landscapes and ensuring regulatory and security compliance
• Stay up to date with the latest research, tools, and frameworks in AI and machine learning; quickly experiment with new approaches and technologies
• Analyze data to extract actionable insights and inform the development, deployment, and tuning of AI models.Work closely with internal cross-functional teams—including engineering, sales, and product management—to deliver tailored client solutions
• Support business development efforts with technical expertise in pre-sales engagements, helping to scope and shape new AI opportunities

• Degree in Computer Science, Data Science, Machine Learning, or a related technical field.Minimum of 5 years of professional experience in AI/ML solution design, implementation, or consulting roles
• Strong problem-solving skills and a keen eye for detail
• Advanced programming ability in Python and familiarity with modern development workflows
• Practical experience with LLMs and popular AI/ML frameworks: Transformers, PyTorch, TensorFlow; expertise with RAG frameworks such as LlamaIndex or LangChain is highly valued
• Proven record integrating APIs and deploying scalable, low-latency machine learning solutions into production
• Ability to rapidly digest new information from research papers and blogs, apply it, and drive system enhancements
• Excellent communication and presentation skills in English and German with the ability to explain complex ideas to diverse audiences
• Previous client-facing experience and/or involvement in technical pre-sales is a plus

In case of equal qualification, disabled candidates will be considered preferentially.