Senior AI Agent Engineer
Oracle · United States
- Hybrid
- Full-time
- $174,300 / year
- United States
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Job highlights
- Build production AI agents and workflows.
- Accelerate analytics delivery and insight generation.
- Integrate AI with enterprise systems and tools.
- Develop grounded, testable, and production-ready LLM applications.
- Optimize workflows for speed, cost, and quality.
About the role
Senior AI Agent Engineer at Oracle Health
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.
Responsibilities
- 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.
Qualifications
- Strong software engineering fundamentals.
- Hands-on experience building LLM-enabled applications that are grounded, testable, and production-ready.
- Ability to move from concept to implementation, balancing speed with safety, evaluation, and maintainability.
- Experience working with prompts, tools, code, APIs, structured outputs, validation, and workflow integration.
Key skills/competency
- AI Agent Engineering
- LLM Application Development
- Workflow Automation
- Production Deployment
- SQL Generation
- Data Exploration
- API Integration
- Testing and Validation
- Software Engineering
- Analytics and Reporting
Skills & topics
- AI Agent Engineer
- Senior Engineer
- LLM
- Workflow Automation
- Production AI
- Analytics
- Reporting
- Software Engineering
- Oracle Health
- AI Development
How to get hired
- Tailor your resume: Highlight your experience with AI agents, LLMs, and production software engineering, aligning it with Oracle Health's specific needs.
- Showcase your impact: Quantify your achievements in building and deploying AI solutions, demonstrating your ability to drive productivity gains.
- Prepare for technical interviews: Brush up on software engineering fundamentals, LLM concepts, API integrations, and AI workflow design and testing.
- Research Oracle Health: Understand their mission in healthcare analytics and how your AI skills can contribute to their ecosystem.
Technical preparation
Master LLM fundamentals and prompt engineering.,Practice building and testing AI agent workflows.,Review software engineering best practices.,Understand API integration and data platforms.
Behavioral questions
Describe a complex AI project you led.,How do you balance speed with safety?,Tell me about a time you collaborated with architects.,How do you ensure AI output accuracy?
Frequently asked questions
- What are the key responsibilities for a Senior AI Agent Engineer at Oracle Health?
- As a Senior AI Agent Engineer at Oracle Health, you will design, build, test, and deploy production AI agents and AI-assisted workflows. This includes implementing agents for tasks like SQL generation, pipeline creation, and insight discovery, integrating AI with enterprise systems, and developing robust evaluation and testing approaches. You'll also partner with architects and domain teams to ensure AI outputs are accurate and practical, while optimizing workflows for efficiency and maintainability.
- What qualifications are essential for the Senior AI Agent Engineer role at Oracle Health?
- Essential qualifications for this role include strong software engineering fundamentals and hands-on experience building production-ready LLM-enabled applications. Candidates should be adept at moving from concept to implementation, balancing speed with safety, evaluation, and maintainability. Experience with prompts, tools, code, APIs, structured outputs, validation, and workflow integration is crucial for success at Oracle Health.
- What is the typical salary range for a Senior AI Agent Engineer at Oracle?
- For U.S. based roles, the hiring range for a Senior AI Agent Engineer at Oracle is typically between $114,600 and $234,600 per year. This range can vary based on factors like knowledge, skills, experience, market conditions, and location. Eligible employees may also receive bonuses, equity, and participate in compensation deferral plans.
- How does Oracle Health approach AI development for its analytics and reporting ecosystem?
- Oracle Health focuses on building production AI agents and workflow automation capabilities to accelerate analytics delivery, improve insight generation, and reduce manual engineering work. They emphasize integrating AI-driven workflows with enterprise systems to support various use cases, ensuring that the developed applications are grounded, testable, and production-ready, with a strong focus on safety, evaluation, and maintainability.
- What kind of career growth can a Senior AI Agent Engineer expect at Oracle?
- Oracle emphasizes discovering potential and empowering employees to contribute. As a Senior AI Agent Engineer, you'll be at the forefront of AI and cloud solutions, working on impactful projects in the healthcare sector. The company offers a culture of innovation, continuous improvement, and opportunities to contribute to AI engineering standards, suggesting significant potential for career advancement within the organization.