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Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

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

About the role

Lead technical authority on Generative AI for the EMEA Emerging Digital Natives and Startups business unit, owning GenAI use cases from concept to production across high-growth accounts and mentoring the field team.

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 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 models) with judge-based and label-efficient evaluation.
  • 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 capabilities and articulate POV to customers.
  • Deep expertise in modern GenAI stack: RAG, agents, tool use, fine-tuning, prompt and evaluation engineering, and safety.
  • Foundations in machine learning and deep learning, including distributed training, GPU workloads, and full MLOps lifecycle (tracking, registry, serving, monitoring).
  • Proficiency in Python and ML ecosystem (PyTorch/Transformers, MLflow, Spark); ability to build production-quality reference implementations.
  • Experience with the Databricks platform (Mosaic AI, Model Serving, Vector Search, Unity Catalog) and cloud (AWS, Azure, GCP).
  • Excellent communication and consultative skills; ability to earn trust of engineers and executives.
  • Track record of technical leadership and mentorship.
  • Comfort operating at speed with digital-native/high-growth customers; willing to travel within EMEA.
  • Background helping digital-native customers build data and ML solutions; prior experience at data/ML platform or consulting vendor is a plus.

Skills

Required:GenAI / LLM expertiseMLOps & ML lifecyclePython & ML framework stack

Benefits

  • Benefits details available in regional link referenced in the job posting.
Last updated Oct 22, 2026. Interested? Apply on the company site.

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