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Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

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

About the role

Lead technical authority for Generative AI within the EMEA Emerging Digital Natives and Startups unit, shaping architectures, validating GenAI use cases, and advancing production-grade implementations across high-growth accounts.

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 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 models), 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 (e.g., Data + AI Summit), blogs, and customer executive briefings.

Qualifications

  • Strong understanding of the LLM landscape with ability to differentiate models and articulate a clear POV to customers.
  • Deep expertise in the modern GenAI stack: RAG, agents, tool use, fine-tuning, prompt and evaluation engineering, guardrails/safety.
  • Foundations in ML/DL including distributed training, GPU workloads, and MLOps lifecycle (tracking, registry, serving, monitoring).
  • Proficiency in Python and ML ecosystem (PyTorch/Transformers, MLflow, Spark); comfortable building 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; ability to earn trust of engineers and executives and explain GenAI trade-offs clearly.
  • Track record of technical leadership and mentorship.
  • Comfort operating at rapid pace with digital-native, high-growth customers and strong technical credibility.
  • Based in the United Kingdom and able to work across EMEA time zones; willingness to travel within the region.

Skills

Required:Generative AI expertisePythonML/DL & MLOpsDatabricks platformCloud platformsCommunication & leadership

Benefits

  • Benefits details available regionally via provided link.
Last updated Oct 22, 2026. Interested? Apply on the company site.

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