Senior AI Agent Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $149k
$70k most similar roles pay here $265k

This role pays less than 87% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $149k versus about $204k 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 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Senior AI Agent Engineer

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities within their analytics and reporting ecosystem. This individual contributor will design and implement AI-driven workflows to accelerate analytics delivery, improve insight generation, and reduce manual engineering work. Key responsibilities include developing tools for SQL generation, pipeline scaffolding, metric design support, executive narrative creation, and report acceleration. The role requires building grounded, testable, and production-ready LLM-enabled applications by working across prompts, tools, code, APIs, structured outputs, and validation logic. Candidates must possess strong software engineering fundamentals to integrate AI capabilities with enterprise systems, data platforms, and semantic services. The engineer will also establish evaluation methods, including regression testing and quality validation, while optimizing workflows for speed, cost, and maintainability to solve complex reporting challenges.

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

  • Candidates 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 work with prompts, tools, code, APIs, and structured outputs.
  • Must be able to develop evaluation and testing approaches for AI workflows.
  • Must be proficient in English (reading, writing, and speaking).

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