AI Analytic Developer- Federal Projects

Oracle•United States,
•$97,800 - $209,500

About The Position

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation that accelerate analytics delivery, improve insight generation, and reduce manual engineering work across its analytics and reporting ecosystem. The engineer will design and implement AI-driven workflows that integrate with enterprise systems for SQL generation, pipeline scaffolding, data exploration, metric design support, insight discovery, executive narrative creation, and report and dashboard acceleration. The role calls for strong software engineering skills and hands-on experience building grounded, testable, production-ready LLM applications, with a focus on safety, evaluation, and maintainability. The position also encompasses broad AI platform and architecture work: model access and lifecycle, agent runtimes and orchestration, retrieval-augmented generation, knowledge management, conversational analytics, AI-ready data platforms, evaluation and observability, security and governance, multimodal experiences, and developer platforms. The engineer will define reusable architecture and integration patterns across OCI and Oracle products, collaborate across technical and business teams, and assess emerging AI, data, search, agent, and model-serving technologies. Due to the client contract, the assigned position requires U.S. citizenship.

Requirements

  • At least 8 years of software engineering experience.
  • Strong proficiency in Python, APIs, distributed systems, and production-grade application development.
  • Hands-on experience building and deploying LLM-enabled or agentic AI solutions.
  • Expertise in AI agents and workflow automation, including tool/function calling, agent orchestration, prompt and context management, structured outputs, validation, retry and failure handling, human-in-the-loop workflows, and enterprise system integration.
  • Strong experience with enterprise GenAI and retrieval architectures, including RAG, embeddings, vector and hybrid search, reranking, grounding, knowledge bases, semantic layers, and NL2SQL/conversational analytics.
  • Ability to build production-ready, secure, and measurable AI systems, including evaluation frameworks, regression testing, hallucination and grounding assessment, observability, latency and cost optimization, access controls, auditability, and safeguards against prompt injection and data exfiltration.
  • Strong architecture and cross-functional collaboration skills.
  • Ability to define reusable APIs, schemas, tool interfaces, integration patterns, and engineering standards.
  • Ability to partner with data, analytics, security, application, infrastructure, and domain teams to translate complex business requirements into scalable AI solutions.
  • U.S. citizenship is required for the assigned position due to the client contract.

Nice To Haves

  • Experience with OCI Generative AI, Oracle AI Database/Vector Search, Select AI, OpenSearch, or comparable technologies.

Responsibilities

  • Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting.
  • Implement agents for SQL generation, pipeline creation, metric design support, insight discovery, executive narrative generation, and dashboard and 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.
  • Define architecture patterns combining OCI Generative AI and agent capabilities with Oracle databases, data platforms, search, storage, and other OCI data services.
  • Establish reusable integrations between OCI AI services and Oracle Fusion Cloud Applications, AI Agent Studio / Fusion Agentic Applications, Oracle Analytics Cloud, Fusion Data Intelligence, Oracle Integration, and adjacent products.
  • Drive semantic architecture across structured data and enterprise knowledge so agents understand business concepts, relationships, permissions, and source-of-truth boundaries.
  • Define retrieval architecture choices and guidance for hybrid retrieval, ranking, freshness, and access-control enforcement.
  • Partner with database, data, AI science, applications, analytics, security, and infrastructure teams to operationalize model capabilities while maintaining coherent platform architecture.
  • Define canonical APIs, schemas, contracts, tool interfaces, event patterns, and interoperability standards for agents, models, knowledge sources, data products, and enterprise applications.
  • Establish patterns for hybrid and distributed deployments where data or inference must remain near regulated, sovereign, customer, or on-premises environments.
  • Evaluate emerging AI, data, search, agent, and model-serving technologies and determine where Oracle should build, integrate, standardize, or partner.

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion.
  • Short-term and long-term disability insurance.
  • Life insurance and accidental death and dismemberment insurance.
  • Supplemental life insurance for employees, spouses, and children.
  • Health care and dependent care flexible spending accounts.
  • Pre-tax commuter and parking benefits.
  • 401(k) Savings and Investment Plan with company match.
  • Flexible or accrued paid vacation, subject to employee eligibility and work schedule.
  • 11 paid holidays.
  • Paid sick leave: 72 hours upon hire, refreshed annually, with unused time carrying over up to a 112-hour cap.
  • Paid parental leave.
  • Adoption assistance.
  • Employee Stock Purchase Plan.
  • Financial planning and group legal benefits.
  • Voluntary auto, homeowner, and pet insurance.
  • May be eligible for bonus and equity.
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