Mission
As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform.
Impact you will have
- Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services.
- GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems, AI observability, and natural language querying of structured data.
- Provide advanced technical support to Solution Architects during the technical sales cycle.
- Product Influence: Collaborate cross-functionally with product and engineering teams.
- Thought Leadership: Drive community growth and AI platform adoption through tutorials, training materials, and presentations.
What we look for
- Experience: 10+ years of hands-on industry DS/ML experience, with focus on ML Engineering or Data Science/AI.
- Hands-on experience with Distributed Spark based systems.
- Experience with data engineering concepts.
- Pre-sales or post-sales experience working with external clients (5+ years preferred).
- [Preferred] Experience with Apache Spark™ for large-scale distributed datasets.
- Communication: Proven ability to communicate complex technical concepts.
- Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI.
- Education: Graduate degree in a quantitative discipline or equivalent practical experience.
- Can meet expectations for technical training within 3 months.
- Can travel up to 30% when needed.