Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Databricks6 days ago
Remote, FranceStaff+
Responsibilities
- Serve as the technical authority for Generative AI, LLMs, and applied machine learning across the EMEA Emerging DNB business unit.
- Partner with Solutions Architects, Solutions Engineers, and Account teams to design and de-risk customer GenAI use cases.
- Build hands-on proofs of concept and reference implementations for large-scale LLM and deep learning workloads on Databricks.
- Lead fine-tuning, model customization, and judge-based or label-efficient evaluation engagements for open LLMs.
- Channel customer and field feedback to Product and Engineering and communicate product roadmaps back to the field.
- Mentor and enable the EMEA Emerging DNB Field Engineering organization through workshops and reference architectures.
- Represent Databricks through conference talks, blogs, customer executive briefings, and other technical thought leadership.
Requirements
- Strong understanding 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 ability to ramp 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.
- Experience working with fast-moving digital-native or high-growth customers.
- Background helping digital-native customers build data and ML solutions is a strong plus.
- Public technical presence, such as conference speaking, published talks, blogs, or open-source contributions, is a nice-to-have.
- Domain experience in regulated or high-stakes industries and experience influencing product roadmaps are nice-to-haves.
- Based in the United Kingdom, able to work across EMEA time zones, and willing to travel to customer sites in the region.
Benefits
- Comprehensive region-specific benefits and perks are offered.
- The role is remote/hybrid in France, requires travel across Europe, and includes 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.