Senior AI Agent Engineer - Production Workflows for Analytics

Archer

United States

On-site

USD 89,000 - 210,000

Full time

25 hours ago
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Benefits offered by this job

Medical, dental, and vision insurance
Paid time off
401(k) Savings and Investment Plan
Employee Stock Purchase Plan
Paid parental leave

Job summary

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities that accelerate analytics delivery and reduce manual engineering work across our analytics and reporting ecosystem.

The ideal candidate will design and implement AI‑driven workflows that integrate with enterprise systems, supporting SQL generation, pipeline scaffolding, data exploration, insight discovery, and executive narrative creation.

Qualifications

  • Design and implement AI‑driven workflows for analytics and reporting.
  • Strong software engineering fundamentals for production‑ready AI apps.
  • Hands‑on experience with LLM‑enabled applications and grounded outputs.

Responsibilities

  • Design, build, test, and deploy production AI agents and AI‑assisted workflows for analytics and reporting use cases.
  • Implement agents that support SQL generation, pipeline creation, metric design support, insight discovery, and dashboard scaffolding.
  • Integrate AI capabilities with enterprise tools, data platforms, and semantic services.
  • Develop structured tool calling patterns, validation logic, and grounded output generation.
  • Build evaluation and testing approaches for AI workflows, including regression testing and quality validation.
  • Collaborate with architects and domain teams to ensure useful, accurate AI outputs and maintainability.

Skills

AI engineering
LLM integration
Workflow automation
Software design
Testing and validation

Tools

Tool calling patterns
Validation tooling
API integration

Job description

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities that accelerate analytics delivery and reduce manual engineering work across our analytics and reporting ecosystem.

The ideal candidate will design and implement AI‑driven workflows that integrate with enterprise systems, supporting SQL generation, pipeline scaffolding, data exploration, insight discovery, and executive narrative creation.

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