Sr. Developer Advocate, Databricks AI Agentic Systems

About This RoleAI processing…

Key Responsibilities

• 1
  Evangelism: Work with the field AI engineers to design and deploy production-grade reference implementations and create high-impact live demonstrations (demos) that solve real-world enterprise GenAI challenges, showcasing best practices in performance, evaluation, and security. You will evangelize Agent Bricks as the definitive way to " Take your AI to your Data ".
• 2
  Community Governance and Growth: Speak and build community by expanding and governing the MLOps and LLMOps communities (including MLflow meetups), mentoring new contributors, and enabling data teams to leverage tools for building MLOps/LLMOps infrastructure. You will establish thought leadership by articulating complex concepts, such as AI Guardrails, lineage tracking, and security controls, within RAG applications, ensuring that Agents are built on governed data.
• 3
  As a crucial link between our engineering teams and the global developer community, you will accelerate the careers of data scientists and AI engineers by coalescing advanced research, customer learnings, and best practices into scalable, production-ready reference implementations, presentations, and demos.
• 4
  You will be instrumental in cultivating the global community for AI Agentic workflows, LLMOps, with particular focus on MLflow, and Agentic System governance.
• 5
  The Impact You Will Have You will leverage your technical depth, community-building skills, and market knowledge to drive awareness and adoption, positioning Databricks as the definitive technical leader in enterprise AI governance and Agentic Systems.
• 6
  You will evangelize Agent Bricks as the definitive way to " Take your AI to your Data ".
• 7
  You will establish thought leadership by articulating complex concepts, such as AI Guardrails, lineage tracking, and security controls, within RAG applications, ensuring that Agents are built on governed data.
• 8
  We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Requirements

• Production Agentic Systems Track Record: A proven history of building, deploying, and operating production-grade AI Agentic Systems . Expertise in designing robust AI system interactions, implementing RAG chains, and developing autonomous agent applications using the Agent Bricks workflow .
• Deep Technical Proficiency: Expert-level knowledge of Python, major machine learning frameworks (e.g., PyTorch, scikit-learn), and modern LLMOps orchestration tools (e.g., LangChain, LlamaIndex, DSPy). Proficient in using MLflow for MLOps; proficiency with Agent Eval and Agent Feedback preferred
• Databricks Ecosystem Mastery: Comprehensive understanding of the Databricks Intelligence Platform, particularly MLflow and Agent Bricks . Experience with Model Serving (DS/LLM), training models on the platform, and implementing data governance (Unity Catalog) to ensure Agents operate on governed data is essential.
• What We Look For We are seeking a seasoned Developer Advocate who possesses deep technical proficiency, a verifiable track record of community leadership, and genuine empathy for the developer journey.
• Production Agentic Systems Track Record: A proven history of building, deploying, and operating production-grade AI Agentic Systems .
• Expertise in designing robust AI system interactions, implementing RAG chains, and developing autonomous agent applications using the Agent Bricks workflow .
• Deep Technical Proficiency: Expert-level knowledge of Python, major machine learning frameworks (e.g., PyTorch, scikit-learn), and modern LLMOps orchestration tools (e.g., LangChain, LlamaIndex, DSPy).
• Proficient in using MLflow for MLOps; proficiency with Agent Eval and Agent Feedback preferred Databricks Ecosystem Mastery: Comprehensive understanding of the Databricks Intelligence Platform, particularly MLflow and Agent Bricks .
• Experience with Model Serving (DS/LLM), training models on the platform, and implementing data governance (Unity Catalog) to ensure Agents operate on governed data is essential.
• Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Perks & Benefits