Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Amsterdam · London · Hybrid · Posted Oct 15, 2026
At a glance
- Workplace
- Hybrid
- Location
- Amsterdam · London
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.
About the role
- We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit.
- You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts.
- This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI.
Responsibilities
- Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts.
- Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation.
- Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks.
- Lead fine-tuning and model-customisation engagements on open LLMs, including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount.
- Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field.
- Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation.
- Represent Databricks externally as a technical thought leader — conference talks, blogs, and customer executive briefings.
Requirements
- Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases.
- Deep expertise in the modern GenAI stack: LLM application patterns, fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety.
- Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle.
- Proficiency in Python and the ML ecosystem, and comfort building production-quality reference implementations.
- Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog.
- Cloud experience across AWS, Azure, or GCP.
- Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives.
- A track record of technical leadership and mentorship.
- Comfort operating at the pace of digital-native and high-growth customers.
- Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed.
Preferred qualifications
- Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space.
- Domain depth in a regulated or high-stakes industry where model quality, evaluation, and safety are critical.
- Experience partnering with Product and Engineering teams to influence roadmap.
- Background helping digital-native customers build data and ML solutions.
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees
Workplace
- Location: Netherlands (Remote/Hybrid)
- Will require travel across Europe
- Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed
Skills
- Python
- PyTorch
- Transformers
- MLflow
- Spark
- Databricks
- Mosaic AI
- Model Serving
- Vector Search
- Unity Catalog
- AWS
- Azure
Show all 13 skills
- GCP
