Staff Data and AI Engineer - Enterprise
On-siteLos Angeles, California, United States
Job Summary
Design and build scalable data pipelines, integrations, and warehouse-oriented data products across enterprise platforms like OneStream, Oracle, Workday, and Databricks. Partner with stakeholders in Finance, HR, Legal, IT, and Operations to translate business requirements into technical designs for process automation, conversational agents, and AI services. Contribute to reference architectures for RAG, indexing, vector stores, and orchestration frameworks while maintaining robust data models and governance. Support reporting and analytics capabilities by shaping reliable data foundations and implementing medallion architecture patterns. This role reports to the Senior Manager, Enterprise Data and AI, focusing on delivering secure, high-value solutions that support corporate strategic and operational needs.
Required Qualifications
- Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions)
- 8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale
- Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale
- Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts
- Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms
- Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions
- Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns
- Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options
Desired Qualifications
- Experience supporting master data, reporting, analytics, or business intelligence use cases
- Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations
- Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar)
- Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases
- Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns
- Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices
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