Senior AI Agent Engineer

Oracle

Confirmed live today High trust

Quick summary

Work type
On-site
Location
—
Salary
$89,200–$209,500 / yr
Posted
83 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $149k
$72k $249k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $152,412–$231,950 — the blue band above. At the midpoint, this role pays about $149k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Senior AI Agent Engineer

The Senior AI Agent Engineer joins the Oracle Health team to build production AI agents and workflow automation capabilities. This role focuses on accelerating analytics delivery and reducing manual engineering work across the analytics and reporting ecosystem. You will design and implement AI-driven workflows that integrate with enterprise systems to support SQL generation, pipeline scaffolding, data exploration, metric design, and executive narrative creation. Key responsibilities include developing structured tool-calling patterns, validation logic, retry handling, and grounded output generation. You must build evaluation and testing approaches for regression testing and quality validation. The position requires strong software engineering fundamentals and hands-on experience with LLM-enabled applications, APIs, prompts, and structured outputs to solve complex data platform and semantic service integration problems.

What you'll do

  • Design, build, test, and deploy production AI agents and automated workflows for analytics and reporting.
  • Implement specific AI capabilities such as SQL generation, pipeline creation, and executive narrative generation.
  • Integrate AI features with enterprise tools, data platforms, and existing engineering systems.
  • Develop structured tool-calling patterns, validation logic, retry handling, and grounded output generation.
  • Create evaluation frameworks for AI workflows including regression testing and failure analysis.
  • Optimize AI workflows for quality, speed, cost, and maintainability.
  • Contribute to AI engineering standards and reusable components across the organization.

What we're looking for

  • Must have 6 to 10+ years of relevant experience.
  • Must possess strong software engineering fundamentals.
  • Must have hands-on experience building production-ready, LLM-enabled applications.
  • Must be able to develop structured tool-calling patterns, validation logic, and retry handling.
  • Must be able to build evaluation and testing approaches for AI workflows including regression testing and failure analysis.
  • Must be able to read, write, and speak English.

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