AI Forward Deployed Engineer - Germany

Hidden Jobs; United States; Remote; USD 104,000 - 207,000; Full time

Benefits offered by this job

Region-specific benefits package

Inclusive hiring practices

Remote work within Germany (Munich/Ber

Job summary

Databricks seeks an experienced GenAI engineer to design and deploy cutting-edge AI solutions for customers, blending hands-on development with strategic consulting. You will work with product, engineering, and developer relations teams to shape GenAI priorities and drive real-world outcomes.

The role emphasizes production-grade ML systems, collaboration across domains, and presentation at conferences. Remote Germany-based candidates are welcome, with preferred locations in Munich, Berlin, or

Qualifications

• Hands-on GenAI development including retrieval-augmented generation, multi-agent workflows, Text2SQL, or fine-tuned models.
• Familiarity with HuggingFace, LangChain, and DSPy.
• Production deployment of GenAI with evaluation pipelines and optimization.
• Strong data science background using pandas, scikit-learn, PyTorch.
• Experience deploying production-grade ML systems on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline or equivalent practical experience.
• Ability to explain complex technical concepts to diverse audiences.

Responsibilities

• Design and build novel GenAI solutions with state-of-the-art techniques.
• Lead end-to-end production rollouts of GenAI apps.
• Advise across multiple customer domains on architecture and implementation.
• Represent work at industry events and contribute to thought leadership.
• Collaborate with product and engineering to influence roadmap priorities.

Skills

GenAI development

Production ML deployment

Data science background

Communication skills

Education

Graduate degree in quantitative field

Tools

HuggingFace

LangChain

DSPy

PyTorch

AWS/Azure/GCP

Job description

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.