AI Databricks Engineer

Job Description In this role, you will design, build, and enhance the enterprise Databricks platform to support analytics, data products, machine learning, and AI initiatives across the organization. You will collaborate with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, and Data Science teams to develop reusable platform services, automation frameworks, engineering standards, and self-service capabilities that improve platform adoption, developer experience,

10+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing.Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.Strong Python development skills.Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing.Experience training and evaluating document classification and field-extraction models.Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, a

Ensures consistency in testing practices and assures quality standards software products by leading the creation of test case documentation and execution within the team.Leads the creation, execution, and documentation of test cases that include: pre / post conditions, test execution steps, and expected results for releases and defectsUses test case results to track project status, forecast completion / budget information, and plan for releasesPerforms functional system and regression testing an

RAG Pipeline, AgenticAI, Python, Azure The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability. Proven experience architecting and delivering systems using agentic IDEs Ability to:Define architectural intent that agents can followBreak features into agent executable tasksGovern AI autonomy (guardrail