Senior AI Agent Engineer - Analytics Automation Leader

Oracle Corporation; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities that accelerate analytics delivery, improve insight generation, and reduce manual engineering work across our analytics and reporting ecosystem.

This role requires strong software engineering fundamentals and hands-on experience building LLM-enabled or agentic AI solutions that are grounded, testable, and production-ready.

Qualifications

• 8+ years of software engineering experience with Python, APIs, distributed systems, and production-grade development.
• Experience building and deploying LLM-enabled or agentic AI solutions for enterprise use.
• Expertise in AI agents and workflow automation, including tool calling, agent orchestration, prompt/context management, and grounded outputs.

Responsibilities

• Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting use cases.
• Implement agents supporting SQL generation, pipeline creation, metric design, insight discovery, executive narratives, and dashboard scaffolding.
• Integrate AI capabilities with enterprise tools, data platforms, and semantic services.
• Develop structured tool-calling patterns, validation, retry handling, and grounded output generation.
• Establish evaluation and testing approaches for AI workflows, including regression testing and quality validation.
• Partner with architects and domain teams to ensure AI outputs are accurate and actionable.

Skills

Python

APIs

Distributed systems

Agent orchestration

Tool calling

Prompt management

Context management

Validation

Retry handling

Human-in-the-loop

Enterprise systems

RAG

Embeddings

Vector search

NL2SQL

OpenSearch

Tools

OCI Generative AI

Oracle AI Database/Vector Search

Select AI

OpenSearch

Job description

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities that accelerate analytics delivery, improve insight generation, and reduce manual engineering work across our analytics and reporting ecosystem.

This role requires strong software engineering fundamentals and hands-on experience building LLM-enabled or agentic AI solutions that are grounded, testable, and production-ready.