lead solutions architect for Generative AI

Databricks is a Data and AI company. More than 20,000 organizations worldwide rely on its Data + AI Platform to build and scale data and AI apps, analytics, and agents.

• 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
• Partner with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases, including RAG, agentic systems, fine-tuning, and evaluation
• Build hands-on 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, including judge-based and label-efficient evaluation approaches
• Channel field and customer feedback into the product roadmap and represent the roadmap to the field
• Enable and mentor the EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement
• Represent Databricks externally through conference talks, blogs, and customer executive briefings

• Strong understanding of proprietary and open-source LLMs, their capabilities, trade-offs, and suitability for different use cases
• Deep expertise in GenAI application patterns, fine-tuning, model customization, prompt and evaluation engineering, and LLM guardrails and safety
• Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the MLOps lifecycle
• Proficiency in Python and the ML ecosystem, including PyTorch, Transformers, MLflow, and Spark
• Experience with Databricks or ability to ramp up quickly; experience with AWS, Azure, or GCP
• Excellent communication and consultative skills, including explaining complex GenAI trade-offs to engineers and senior technical executives
• Track record of technical leadership and mentorship
• Comfortable working at the pace of digital-native and high-growth customers
• Based in the United Kingdom and able to work across EMEA time zones; willing to travel to customer sites in the region as needed
• Будет плюсом: experience helping digital-native customers build data and ML solutions, public technical presence through conference speaking, published talks, blogs, or open-source contributions in ML/GenAI, domain expertise in regulated or high-stakes industries, experience partnering with Product and Engineering teams to influence roadmaps

• Локация: Великобритания
• Benefits and perks are provided; specific details depend on the region