Remote AZ AI Agent Engineer for Enterprise Workflows

HonorHealth

Arizona

On-site

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

HonorHealth seeks an AI Agent Developer to design, build, deploy, and maintain agent-enabled workflows that enhance enterprise productivity and decision support in a health system environment.

You will partner with stakeholders, AI Trainers, engineers, analysts and governance teams to implement secure, measurable, and compliant AI capabilities with governance guardrails and robust testing.

Qualifications

  • Bachelor's degree in Computer Science or 4 years equivalent experience; Software Engineering, Information Systems, Data Engineering or related field required.
  • Master's degree in Computer Science, Artificial Intelligence, Data Science or related field preferred.

Responsibilities

  • Design and build AI agents and agent-enabled workflows using approved enterprise platforms, APIs, orchestration tools, and LLM capabilities.
  • Translate business requirements into agent logic, task definitions, prompt structures, decision paths, and interaction patterns.
  • Develop agent behaviors for multi-step reasoning, content retrieval, workflow support, and task execution within approved boundaries.
  • Configure agent inputs, outputs, memory patterns, permissions, and interaction rules based on intended use.
  • Connect agents to approved enterprise tools, systems, APIs, knowledge bases, workflow platforms, and data sources.
  • Build and maintain integrations that enable secure and reliable information retrieval or task support.
  • Collaborate with technical teams to ensure connectivity, authentication, data flow, and architecture alignment.

Skills

APIs
Integration
Cloud platforms
Workflow orchestration

Education

Bachelors in Computer Science
Masters in CS/AI/Data Science

Tools

Microsoft Copilot Studio
Google Cloud Platform AI tools

Job description

HonorHealth seeks an AI Agent Developer to design, build, deploy, and maintain agent-enabled workflows that enhance enterprise productivity and decision support in a health system environment.

You will partner with stakeholders, AI Trainers, engineers, analysts and governance teams to implement secure, measurable, and compliant AI capabilities with governance guardrails and robust testing.

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