Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Databricks6 days ago
Remote, GermanyStaff+
Responsibilities
- Serve as the technical authority on Generative AI, LLMs, and applied machine learning for strategic EMEA Emerging DNB customer engagements.
- Partner with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases including RAG and agentic systems.
- Build hands-on proofs of concept and reference implementations for LLM and deep learning workloads on Databricks.
- Lead fine-tuning and model-customization engagements, including judge-based and label-efficient evaluation.
- Communicate customer and field feedback to Product and Engineering and represent product roadmaps to the field.
- Enable and mentor the field engineering team through workshops, reference architectures, and internal training.
- Represent Databricks externally through conference talks, blogs, and customer executive briefings.
Requirements
- Strong knowledge of proprietary and open-source LLMs, providers, capabilities, trade-offs, and use-case suitability.
- Deep expertise in RAG, agents, tool use, fine-tuning, model customization, prompt engineering, evaluation engineering, and LLM safety guardrails.
- Strong machine learning and deep learning foundations, including distributed training, GPU workloads, and the MLOps lifecycle.
- Proficiency in Python and the ML ecosystem, including PyTorch, Transformers, MLflow, and Spark.
- Experience with Databricks or the ability to ramp up quickly, including Mosaic AI, Model Serving, Vector Search, and Unity Catalog.
- Cloud experience across AWS, Azure, or GCP.
- Excellent communication and consultative skills with both engineers and senior technical executives.
- Track record of technical leadership and mentorship in fast-moving, high-growth customer environments.
- Based in the United Kingdom, able to work across EMEA time zones, and willing to travel to customer sites in the region.
- Experience helping digital-native customers build data and ML solutions is a strong plus.
- Public technical presence, regulated-industry experience, or experience influencing Product and Engineering roadmaps is desirable.
Benefits
- Comprehensive regional benefits and perks are offered; specific details depend on the employee’s region.
- The posting states Germany as the location with remote/hybrid work and travel across Europe, while the requirements state the candidate should be based in the United Kingdom and work across EMEA time zones.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.