Senior AI Agent Engineer

Oracle

Confirmed live today High trust

Quick summary

Work type
On-site
Location
—
Salary
$93,700–$209,500 / yr
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k
This role $152k
$77k $247k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $152,412–$230,500 — the blue band above. At the midpoint, this role pays about $152k versus about $191k 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

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 role involves designing and implementing AI-driven workflows to accelerate analytics delivery, improve insight generation, and reduce manual engineering work. The engineer will develop agents for SQL generation, pipeline scaffolding, metric design support, and executive narrative creation. Key responsibilities include integrating AI with enterprise tools and data platforms, developing structured tool-calling patterns, and building evaluation approaches for regression testing and quality validation. The position requires strong software engineering fundamentals and hands-on experience with LLM-enabled applications, prompts, APIs, and structured outputs. The work focuses on creating grounded, testable, and production-ready solutions to solve complex data exploration and reporting acceleration problems.

What you'll do

  • Design, build, test, and deploy production AI agents and workflows for analytics and reporting.
  • Implement agents for SQL generation, pipeline creation, metric design, and insight discovery.
  • Integrate AI capabilities with enterprise tools, data platforms, and existing engineering workflows.
  • Develop structured tool-calling patterns, validation logic, retry handling, and grounded output generation.
  • Build evaluation and testing approaches including regression testing, quality validation, and failure analysis.
  • Optimize AI workflows for quality, speed, cost, and maintainability.
  • Contribute to AI engineering standards and reusable components for the team.

What we're looking for

  • This position requires a security clearance.
  • Applicants must be able to read, write, and speak English.
  • Candidates must have strong software engineering fundamentals.
  • Candidates must have hands-on experience building LLM-enabled applications that are grounded, testable, and production-ready.
  • Candidates must be able to work across prompts, tools, code, APIs, structured outputs, validation, and workflow integration.
  • Candidates must be able to build evaluation and testing approaches for AI workflows, including regression testing and failure analysis.

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