AI Analytic Developer

** Job Description*
* 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.

** Requirements:*
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** 8+ years of software engineering experience** , with strong proficiency in Python, APIs, distributed systems, and production-grade application development, including hands-on experience building and deploying LLM-enabled or agentic AI solutions.

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** Due to the client contract, you will be assigned, this position requires you to be a U.S. citizen*
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** Demonstrated expertise in AI agents and workflow automation** , including tool/function calling, agent orchestration, prompt and context management, structured outputs, validation, retry/failure handling, human-in-the-loop workflows, and integration with enterprise systems.

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** Strong experience with enterprise GenAI and retrieval architectures** , including RAG, embeddings, vector and hybrid search, reranking, grounding, knowledge bases, semantic layers, and NL2

SQL/conversational analytics; experience with OCI Generative AI, Oracle AI Database/Vector Search, Select AI, Open Search, or comparable technologies preferred.

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** Proven ability to build production-ready, secure, and measurable AI systems** , including evaluation frameworks, regression testing, hallucination and grounding assessment, observability, latency/cost optimization, access controls, auditability, and safeguards against prompt injection and data exfiltration.

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** Strong architecture and cross-functional collaboration skills** , with the ability to define reusable APIs, schemas, tool interfaces, integration patterns, and engineering standards while partnering with data, analytics, security, application, infrastructure, and domain teams to translate complex business requirements into scalable AI solutions.

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** Due to the client contract, you will be assigned, this position requires you to be a U.S. citizen*
* ** 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…