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# Databricks Genie Specialist

- **Company:** Central Business Solutions Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Databases, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Salesforce.Com, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Apache Spark, Data Lakes, Virtual Agents, Servicenow, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.dice.com/job-detail/8491dac7-0a92-4c45-8afc-44f0990bd25a

## About the Role

* 8-10+ years in data engineering, ML engineering, or AI automation
 * Must have hands-on project experience with Databricks Genie, agentic AI, LLM orchestration
 * Strong knowledge of Spark, Delta Lake, Python, SQL
 * Experience building workflow automation or enterprise copilots

Preferred Skills

 * Experience with LangChain agents, Mosaic AI, or LlamaIndex
 * Background in enterprise automation or RPA
 * Experience integrating AI with SaaS platforms (Salesforce, ServiceNow, etc.), You will build agentic AI systems that automate complex workflows, reduce operational burden, and unlock new enterprise capabilities.

## Description

We are seeking a Databricks Genie Specialist focused on building agentic AI workflows, enterprise copilots, and automated business processes. You will work closely with product, engineering, and business teams to deliver next-generation AI automation., * Build Genie agents for workflow automation, copilots, and enterprise tasks.

 * Design agentic AI architectures using Databricks Workflows, Delta Lake, and Genie pipelines.
 * Implement retrieval pipelines, context orchestration, and multi-agent systems.
 * Integrate Genie agents with enterprise systems (APIs, databases, SaaS tools). Should have Agent development to Production experience.
 * Optimize agent performance, reliability, and safety.
 * Build monitoring dashboards for agent behavior, drift, and performance.
 * Collaborate with data engineering teams to ensure high-quality data inputs.
 * Work with product teams to design user-facing AI experiences.


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