Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

Remote · London · Posted Oct 15, 2026

At a glance

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.

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.
This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI.

Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting strategic and complex customer engagements.
Partner with 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.
Act as a bridge to Product and Engineering by channeling field and customer feedback into the roadmap and representing the roadmap back to the field.
Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement.
Represent Databricks externally as a technical thought leader through conference talks, blogs, and customer executive briefings.

Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers.
Deep expertise in the modern GenAI stack including LLM application patterns, fine-tuning, 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 such as PyTorch, Transformers, MLflow, and Spark.
Experience with the Databricks platform or the ability to ramp on it quickly, along with cloud experience across AWS, Azure, or GCP.
Excellent communication and consultative skills 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 where speed and technical credibility win the deal.
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.

Public technical presence including conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space.
Domain depth in a regulated or high-stakes industry such as healthcare, life sciences, or financial services.
Experience partnering with Product and Engineering teams to influence product roadmaps.
Background helping digital-native customers build data and ML solutions at a data/ML platform or consulting vendor.

Show all 13 skills