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Lead Solutions Architect – Generative AI
Databricks. Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit .
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchSparkUnity
About the role
Key responsibilities & impact- Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit
- Partner with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases
- Build proofs of concept and reference implementations for large-scale LLM and deep learning workloads on Databricks
- Lead fine-tuning and model-customization engagements on open LLMs
- Act as a bridge to Product and Engineering, channeling field and customer feedback into the roadmap
- Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement
- Represent Databricks externally through conference talks, blogs, and customer executive briefings
Requirements
What you’ll need- Strong understanding of proprietary and open-source LLMs, their capabilities, trade-offs, and use-case suitability
- Deep expertise in RAG, agents, tool use, fine-tuning, model customization, prompt engineering, 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, including PyTorch, Transformers, MLflow, and Spark
- Experience with Databricks or ability to ramp up quickly, including Mosaic AI, Model Serving, Vector Search, and Unity Catalog
- Cloud experience across AWS, Azure, or GCP
- Excellent communication and consultative skills
- Track record of technical leadership and mentorship
- Ability to operate 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 sites within the region as needed
- Background helping digital-native customers build data and ML solutions is a strong plus
Benefits
Comp & perks- Comprehensive benefits and perks tailored to employees' regional needs
- Specific regional benefits details available via the employer's benefits document