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Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

Databricks· Engineering
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Hybrid (Netherlands)full-timePosted 5d ago

About the role

Technical leader focusing on Generative AI to support the EMEA Emerging Digital Natives and Startups business unit. Acts as the deep technical authority on GenAI/LLMs, leads architecture and proof-of-concept work, mentors field engineers, and represents Databricks as a thought leader.

Responsibilities

  • 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 across digital-native accounts.
  • Partner with 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 (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance).
  • Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family), including judge-based and label-efficient evaluation approaches for high-stakes domains.
  • 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.
  • Represent Databricks externally as a technical thought leader — conference talks, blogs, and customer executive briefings.

Qualifications

  • Strong understanding of the LLM landscape with ability to differentiate model capabilities and suitability for various use cases.
  • Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt/evaluation engineering, and safety guardrails.
  • Foundations in ML/DL including distributed training, GPU workloads, and full MLOps lifecycle (tracking, registry, serving, monitoring).
  • Proficiency in Python and ML ecosystem (PyTorch/Transformers, MLflow, Spark) and ability to build production-quality reference implementations.
  • Experience with Databricks platform (Mosaic AI, Model Serving, Vector Search, Unity Catalog) and cloud experience across AWS, Azure, or GCP.
  • Excellent communication and consultative skills with engineers and executives; ability to articulate GenAI trade-offs clearly.
  • Track record of technical leadership and mentorship.
  • Comfort operating at the pace of digital-native, high-growth customers; strong credibility.
  • Based in the United Kingdom and able to work across EMEA time zones; willing to travel within the region.

Skills

Required:GenAI / LLM understandingLLM stack familiarityMLOps and ML lifecyclePython / ML tooling

Benefits

  • See regional benefits details linked in the job description.
Last updated Oct 22, 2026. Interested? Apply on the company site.

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