Databricks develops a unified data and AI platform for organizations that need to manage large-scale data, build machine learning systems, and turn analytics into production applications. Its technology brings together data engineering, Apache Spark processing, analytics, and machine learning operations, helping technical teams work across the data lifecycle from processing and experimentation to deployment and insight generation.
Lead Generative AI Solutions Architect, Germany
Lead Databricks customers in designing and deploying production generative AI solutions. Develop LLM architectures and proofs of concept, and enable digital-native businesses across EMEA.
Description
- Serve as the generative AI, LLM, and applied machine learning authority for EMEA’s Emerging DNB business.
- Work with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and reduce risk in generative AI use cases.
- Develop proofs of concept and reference implementations for large-scale LLM and deep learning workloads on Databricks.
- Lead fine-tuning and customization projects using open LLMs.
- Bring field and customer feedback to Product and Engineering to inform the roadmap.
- Train and mentor the wider EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal learning programs.
- Represent Databricks at conferences and through blog posts and customer executive briefings.
Requirements
- Understand proprietary and open-source LLMs, including their capabilities, trade-offs, and suitability for different use cases.
- Have deep expertise in RAG, agents, tool use, fine-tuning, model customization, prompt engineering, evaluation engineering, and LLM safeguards and safety.
- Have a strong grounding in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle.
- Be proficient in Python and the machine learning ecosystem, including PyTorch, Transformers, MLflow, and Spark.
- Have experience with Databricks or be able to learn it quickly, including Mosaic AI, Model Serving, Vector Search, and Unity Catalog.
- Have experience with AWS, Azure, or Google Cloud Platform.
- Bring excellent communication and consultative skills.
- Have a record of technical leadership and mentoring.
- Be able to work at the pace of digital-native and high-growth customers.
- Be based in the United Kingdom and able to work across EMEA time zones.
- Be willing to travel to customer sites within the region as needed.
- Experience helping digital-native customers build data and machine learning solutions is a strong plus.
Benefits
- Comprehensive benefits and perks tailored to employees’ regional needs.
- Details of region-specific benefits are available in the employer’s benefits document.