Lead Solutions Architect – Generative AI

. Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit .

Posted 10/15/2026full-timeFranceSeniorWebsite

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSparkUnity

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
Use judge-based and label-efficient evaluation approaches for quality- and safety-critical domains
Bridge Product and Engineering by channeling customer feedback into the roadmap and representing the roadmap to the field
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

What you’ll need

Strong understanding of the LLM landscape, including proprietary and open-source models and providers
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
Production-quality reference implementation experience
Experience with Databricks or ability to ramp 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
Comfort working with 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
Public technical presence, regulated/high-stakes industry experience, and Product/Engineering partnership experience are nice to have

Comp & perks

Comprehensive benefits and perks that meet the needs of all employees; region-specific details provided via the linked benefits document