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Databricks
Databricks
1,001 – 5,000 Employees
H1B Visa SponsorArtificial IntelligenceEnterpriseSaaS
Databricks develops a unified data and AI platform for organizations that need to manage large-scale data, build machine learning systems, and turn analytics into production applications. Its technology brings together data engineering, Apache Spark processing, analytics, and machine learning operations, helping technical teams work across the data lifecycle from processing and experimentation to deployment and insight generation.
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Lead Generative AI Solutions Architect — Databricks (Hybrid, United Kingdom)

Lead the design of production-grade generative AI and LLM solutions on Databricks’ Data + AI platform. Support EMEA digital-native customers and field teams through architecture, proofs of concept, and technical leadership.

GBUnited KingdomHybridFull-timeSeniorEnglish RequiredSolutions Engineer
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSparkUnity

Description

  • Own technical leadership for generative AI, LLM, and applied machine learning across the EMEA Emerging DNB business unit.
  • Collaborate with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and reduce risk in GenAI use cases.
  • Create proofs of concept and reference architectures for large-scale LLM and deep learning workloads on Databricks.
  • Lead engagements involving open-LLM fine-tuning, model customization, and evaluation methods.
  • Bring customer and field insights to Product and Engineering roadmaps, then communicate roadmap direction back to field teams.
  • Develop the EMEA Emerging DNB Field Engineering organization through workshops, reference architectures, and internal training.
  • Represent Databricks through conference presentations, technical articles, and executive customer briefings.

Requirements

  • Demonstrated understanding of proprietary and open-source LLMs, including their capabilities, trade-offs, and suitability for different use cases.
  • Advanced expertise in RAG, agents, tool use, fine-tuning, model customization, prompt engineering, evaluation engineering, and LLM safety controls.
  • Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the complete MLOps lifecycle.
  • Proficiency with Python, PyTorch or Transformers, MLflow, and Spark.
  • Experience with Databricks, or the ability to become proficient quickly in Mosaic AI, Model Serving, Vector Search, and Unity Catalog.
  • Cloud experience with AWS, Azure, or Google Cloud Platform.
  • Excellent communication and consultative abilities.
  • Proven record of technical leadership and mentoring.
  • Ability to operate effectively at the pace of digital-native and high-growth customers.
  • Based in the United Kingdom and able to work across EMEA time zones.
  • Willingness to travel to customer locations in the region when required.
  • Experience helping digital-native customers develop data and machine learning solutions is advantageous.

Benefits

  • Comprehensive employee benefits and perks, with region-specific information supplied in the benefits documentation.
  • Opportunity to establish a public profile as a recognised generative AI expert.
  • Opportunities to speak at conferences, publish blog content, and brief customer executives.
  • Opportunities for technical thought leadership and external representation.

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