As an AI/ML Specialist Solutions Architect at Databricks, you will lead the technical strategy for AI and ML solutions, guiding customers through complex architecture discussions and ensuring successful platform adoption. This role combines deep technical expertise with strategic thinking, positioning Databricks as a key player in customers' data and AI strategies. You will serve as a trusted advisor to technical leads and architects, while also developing a technical specialization recognized within the Field Engineering team. The position offers the flexibility to work remotely.

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in ML Engineering or AI Engineering.
• Strong coding proficiency in Python and SQL.
• Deep expertise in distributed data systems architecture.
• Proficient on the Databricks Platform with a developing technical specialization in one area.
• Proven ability to lead architecture discussions with senior technical stakeholders.
• Experience with production deployments on public cloud including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills to translate complex architectures into business value.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.
• Willingness to travel up to 30% as needed.

• Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth.
• Lead complex architecture discussions, designing scalable, production-grade solutions spanning AI/ML.
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions.
• Develop and declare an emerging technical specialization, becoming a go-to resource for your team.
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs.
• Influence product direction by providing structured feedback on customer requirements and competitive gaps.