AI Forward Deployed Engineer - Germany
Join Databricks as an AI Forward Deployed Engineer to develop cutting-edge GenAI solutions for customers in Germany.
Posted by employer 2 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Develop cutting-edge GenAI solutions
- Own production rollouts of GenAI applications
- Serve as a trusted technical advisor to customers
- Present at conferences
- Collaborate with product and engineering teams
Must have
- Min 4 years' experience
- Experience building GenAI applications
- Expertise in deploying production-grade GenAI applications
- Extensive hands-on industry data science experience
- Experience building production-grade machine learning deployments
- Graduate degree in a quantitative discipline or equivalent experience
Nice to have
- Experience using the Databricks Intelligence Platform
- Experience with Apache Spark™
Practical constraints
- Willing to travel once every 4-8 weeks to see customers
AI in the day-to-day
We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.
Requirements
- Experience
- 4+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The AI Forward Deployed Engineer at Databricks focuses on developing and implementing innovative GenAI solutions for clients, ensuring successful production rollouts of AI applications. Key skills include experience with tools like HuggingFace and LangChain, as well as a strong background in machine learning and data science. This role is suited for professionals with at least four years of relevant experience and a graduate degree in a quantitative field. The position involves collaboration with cross-functional teams and opportunities to present at industry conferences.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze November 4, 2026. Last confirmed on Databricks's careers page November 6, 2026.
Quick facts
- Is the AI Forward Deployed Engineer - Germany role remote?
- It's hybrid — Databricks expects some on-site time in Munich, Germany.
- How much experience is required?
- At least 4 years of relevant experience for this AI Forward Deployed Engineer - Germany role.
- Where is the role based?
- Databricks is hiring for this position in Munich, Germany.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, DSPy, GCP, GenAI, HuggingFace.
- What seniority level is this role?
- Databricks targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Forward Deployed Engineer - Germany role at Databricks.
From the original posting
AI Engineer - FDE (Forward Deployed Engineer)
Req ID: CSQ427R334
We welcome remote applicants located near our offices. Preferred locations: Munich, Berlin, Frankfurt, Germany. Remote location for candidates to be based in the Germany region only (not remote from any other country)
Mission
The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
Reporting to: Senior Manager - AI FDE, EMEA
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
What we look for:
- Min 4 years' experience
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimisations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
- Willing to travel once every 4-8 weeks to see customers (as needed)
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.