On-site (with the possibility of remote work and travel up to 30%)
5+ years hands-on industry ml experience
Production-grade cloud infrastructure deployment
Experience with llms and agentic systems
Databricks is seeking a Specialist Solutions Architect for AI/ML to guide customers in developing production-grade ML and AI applications on their platform. The ideal candidate should have a strong background in machine learning, cloud infrastructure, and customer engagement, along with a passion for collaboration and continuous learning
Job Summary
You will serve as a trusted technical expert guiding customers in architecting production-grade ML and AI applications on the Databricks platform.
The role involves building and scaling enterprise GenAI solutions including RAG architectures, agentic systems, and AI evaluation frameworks.
Candidates must possess a graduate degree in a quantitative discipline or equivalent practical experience with strong communication skills.
Matching Summary
Match Score: 85
Databricks is seeking a Specialist Solutions Architect for AI/ML to guide customers in developing production-grade ML and AI applications on their platform. The ideal candidate should have a strong background in machine learning, cloud infrastructure, and customer engagement, along with a passion for collaboration and continuous learning.
Salary
Base: $180,000 - $247,500 USD; Bonus/Equity: Eligible for annual performance bonus and equity; Benefits: Comprehensive benefits package offered
Skills & Requirements
Must-have
5+ years hands-on industry ML experience
Production-grade cloud infrastructure deployment
Experience with LLMs and agentic systems
Vector databases and fine-tuning LLMs
MLOps best practices for productionization
Nice-to-have
2+ years customer-facing pre-sales experience
Passion for lifelong learning and collaboration
Ability to drive business value through AI
Mentorship and thought leadership capabilities
Key Requirements
Graduate degree in Computer Science, Engineering, Statistics, or Operations Research
5+ years of hands-on ML engineering or AI engineering experience
Remote work capability with up to 30% travel requirement