Senior Specialist Solutions Architect (AI/ML)

The role

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

What you will do

• Design and implement production-level ML and AI workloads.
• Serve as a practitioner for enterprise GenAI solutions.
• Provide advanced technical support to Solution Architects during the technical sales cycle.
• Collaborate cross-functionally with product and engineering teams to influence the platform's AI roadmap.
• Drive community growth and AI platform adoption through tutorials, training, and presentations.

Required qualifications

• 10+ years of hands-on industry DS/ML experience, focusing on ML Engineering or Data Science/AI.
• Hands-on experience working with Distributed Spark based systems.
• Experience with data engineering concepts or a good understanding of data engineering concepts.
• Pre-sales or post-sales experience working with external clients across a variety of industry markets.
• Ability to communicate and teach complex technical concepts to both technical and non-technical audiences.
• Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.
• 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

• Minimum of 5+ years of customer-facing experience
• Experience working with Apache Spark™ to process large-scale distributed datasets

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.