Specialist Solutions Architect - AI/ML

The role

You will act as a technical ML and AI expert for Databricks customers and the Field Engineering organization. You will guide customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform.

What you will do

• Architect production-level ML and AI workloads including agents, end-to-end ML pipelines, and MLOps
• Serve as a practitioner for enterprise GenAI solutions including RAG architectures and agentic systems
• Build, scale, and optimize customer AI workloads
• Provide advanced technical support to Solution Architects during the technical sale
• Collaborate cross-functionally with product and engineering teams to influence the product roadmap

Required qualifications

• 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer or AI Engineer
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
• AI Engineer: Experience with the latest techniques in LLMs and agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, L
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML and AI
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• Can travel up to 30% when needed

Nice to have

• 2+ years customer-facing experience in a pre-sales or post-sales role

About the company

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