Senior Specialist Solutions Architect (AI/ML)

Location: London, United Kingdom

Company

Databricks provides a unified Data and AI Platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Architect and implement production-grade ML and AI workloads, including end-to-end pipelines, training and inference optimization, MLOps lifecycle management, and cloud-native integrations.
• Develop enterprise GenAI solutions using RAG architectures, agentic systems, tool-calling, multi-agent orchestration, guardrails, AI observability, and natural-language querying of structured data.
• Support Solution Architects during technical sales cycles by building MVPs, leading technical deep dives, and aligning solutions with customer challenges.
• Collaborate with product and engineering teams to represent customer needs and influence the AI platform roadmap.
• Create technical tutorials and training materials, present at industry conferences, lead hackathons, and mentor colleagues.

Requirements

• 10+ years of hands-on industry data science or machine learning experience.
• Experience building production-grade cloud infrastructure on AWS, Azure, or GCP for ML application deployment and model monitoring, or advanced experience with LLMs, agentic systems, vector databases, fine-tuning, Hugging Face, and LangChain.
• Hands-on experience with distributed Spark-based systems and data engineering concepts.
• Pre-sales or post-sales experience with external clients; 5+ years of customer-facing experience is preferred.
• Ability to communicate and teach complex technical concepts to technical and non-technical audiences.
• Graduate degree in a quantitative discipline or equivalent practical experience; ability to meet technical training and role-specific expectations within three months.

Nice to have

• Experience working with Apache Spark to process large-scale distributed datasets.
• At least five years of customer-facing experience across multiple industry markets.

Culture & Benefits

• Collaborative environment focused on lifelong learning and delivering business value through AI.
• Opportunity to contribute to AI thought leadership and platform adoption.
• Comprehensive employee benefits and region-specific perks.
• Travel of up to 30% when needed.