Senior AI Agent Engineer

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 engineer will design and implement AI-driven workflows that integrate with enterprise systems and support use cases such as SQL generation, pipeline scaffolding, data exploration, metric design support, insight discovery, executive narrative creation, and report/dashboard acceleration. The role requires strong software engineering fundamentals combined with hands-on experience building LLM-enabled applications that are grounded, testable, and production-ready.

The ideal candidate is a builder who can move from concept to implementation, balancing speed with safety, evaluation, and maintainability. This person should be able to work across prompts, tools, code, APIs, structured outputs, validation, and workflow integration to deliver real productivity gains.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $93,700 to $209,500 per annum. May be eligible for bonus and equity.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting use cases. 
• Implement agents that support tasks such as SQL generation, pipeline creation, metric design support, insight discovery, executive narrative generation, and dashboard/report scaffolding. 
• Integrate AI capabilities with enterprise tools, data platforms, semantic services, and existing engineering workflows. 
• Develop structured tool-calling patterns, validation logic, retry handling, and grounded output generation. 
• Build evaluation and testing approaches for AI workflows, including regression testing, quality validation, and failure analysis. 
• Partner with architects, semantic engineers, and domain teams to ensure AI outputs are useful, accurate, and operationally practical. 
• Optimize workflows for quality, speed, cost, and maintainability. 
• Contribute to AI engineering standards, reusable components, and continuous improvement across the team.