AI Forward Deployed Engineer - Germany

Role overview Join a customer-facing AI engineering team that delivers professional services engagements, helping clients design and ship first-of-a-kind generative AI applications. The role blends hands-on engineering with strategic consulting, working alongside product, engineering, and developer relations counterparts to shape long-term priorities across GenAI, LLMOps, and broader machine learning. You will report to the Senior Manager of AI Forward Deployed Engineering in EMEA, contributing a specialist skillset to an ensemble of practitioners, ideally based in or near Munich, Berlin, or Frankfurt.

Responsibilities - Design and build novel generative AI solutions that apply state-of-the-art techniques from recent AI research to real customer problems. - Lead end-to-end production rollouts of both customer-facing and internal GenAI applications. - Act as a trusted technical advisor across multiple customer domains, guiding architecture and implementation choices. - Represent the work at major industry conferences and contribute to thought leadership both internally and externally. - Partner with product and engineering teams to influence roadmap priorities based on field insights.

Requirements - Hands-on experience building GenAI applications such as retrieval-augmented generation systems, multi-agent workflows, Text2SQL pipelines, or fine-tuned models. - Familiarity with popular GenAI frameworks including HuggingFace, LangChain, and DSPy. - Production deployment experience for generative AI, including evaluation pipelines and optimization strategies. - Strong data science background using tools such as pandas, scikit-learn, and PyTorch. - Proven track record deploying production-grade machine learning systems on AWS, Azure, or GCP. - Graduate degree in a quantitative discipline (computer science, engineering, statistics, operations research, or similar) or equivalent practical experience. - Ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Nice to have - Experience working with unified data and AI platforms and Apache Spark for large-scale distributed datasets. - Comfort with regular customer travel, roughly once every four to eight weeks.

Benefits and work setup - Region-specific benefits package, with details provided during the hiring process. - Inclusive hiring practices and a stated commitment to equal opportunity. - Remote work permitted within Germany, with Munich, Berlin, or Frankfurt as preferred locations.