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AI Forward Deployed Engineer - Germany

Join Databricks as an AI Forward Deployed Engineer to develop cutting-edge GenAI solutions for diverse customers in Germany.

Location
Munich, Germany
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 7 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

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

  • Experience building GenAI applications
  • Extensive years of hands-on industry data science experience
  • Experience building production-grade machine learning deployments
  • Graduate degree in a quantitative discipline
  • Experience communicating technical concepts

Nice to have

  • Experience using the Databricks Intelligence Platform
  • Experience with Apache Spark

Practical constraints

  • Willing to travel once every 4-8 weeks

AI in the day-to-day

We deliver professional services engagements to help customers build and productionize AI applications.

Requirements

Experience
5+ 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 deploying innovative GenAI solutions tailored to customer needs. This role requires expertise in building production-grade AI applications using tools like HuggingFace and PyTorch, along with a strong background in data science and machine learning. Ideal candidates are experienced professionals who enjoy customer interaction and collaboration across teams. The position is part of a specialized team that emphasizes continuous learning and the application of cutting-edge AI techniques.

Joblaze insights

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 5 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, Apache Spark, Azure, DSPy, GCP, GenAI.
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: CSQ427R333

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:

  • 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

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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