AI Agent Developer

70 HonorHealth Support Services; Arizona; Hybrid; USD 120,000 - 180,000; Full time

Job summary

HonorHealth in Arizona is seeking an AI Agent Developer to design, build, deploy, and maintain AI agents and agent-enabled workflows across enterprise use cases. This role emphasizes secure, governed, and scalable AI solutions that support decision making and productivity.

You will collaborate with AI Trainers, software engineers, analysts, and governance partners to ensure responsible implementation and measurable impact on business processes.

Qualifications

• Bachelor's degree in CS or related field required; Masters preferred.
• 2 years API, application integration, cloud-based platforms, or workflow orchestration experience.
• 3 years software engineering, systems integration, workflow automation, AI application development, or related experience.
• Preferred experience with healthcare, HR, or other regulated enterprise environments.

Responsibilities

• Design and build AI agents and agent-enabled workflows using approved enterprise platforms, APIs, orchestration tools, and LLM capabilities.
• Ensure agent configurations operate within governance, access, privacy, and security boundaries; implement safe-use controls.
• Collaborate with stakeholders to translate business needs into agent logic, prompts, and interaction patterns; test and validate reliability.
• Support controlled rollout, monitoring, and continuous improvement of agent capabilities across enterprise use cases.

Skills

APIs

Cloud platforms

Workflow orchestration

LLM apps

Prompt design

Education

Bachelor's in CS or related

Masters in CS/AI/Data Science (Preferred)

Tools

Microsoft Copilot Studio

Google Cloud Platform AI tools

Job description

Primary City/State: Virtual Arizona Category: Data Intelligence Shift: Day Department: Augmented Intelligence Hours: Monday-Friday Days Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.) At HonorHealth, you’ll find something special. From humble beginnings in 1927 to one of Arizona’s largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most — caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities

JOB SUMMARY The AI Agent Developer is responsible for designing, building, deploying, and maintaining AI agents and agent-enabled workflows that support enterprise productivity, decision support, and process execution at HonorHealth. This role focuses on converting business use cases into reliable, governed AI systems that can reason over context, interact with approved knowledge sources, call tools or services, and support multi-step work. The AI Agent Developer operates at the application and workflow layer rather than the model research layer. This role partners with business stakeholders, AI Trainers, software engineers, analysts, and governance partners to build agent capabilities that are secure, measurable, maintainable, and aligned with real operational needs. The role is accountable for agent design, integration, testing, reliability, and controlled deployment across approved enterprise use cases.

Essential Functions

Agent Design and Development

Design and build AI agents and agent-enabled workflows using approved enterprise platforms, APIs, orchestration tools, and large language model 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.

Tool, Data, and System Integration

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 support intended agent behavior. Help define reusable patterns for agent integration across multiple use cases.

Testing, Evaluation, and Reliability

Develop and execute test plans for AI agent behavior, edge cases, workflow reliability, and failure recovery. Monitor agent outputs, tool calls, workflow consistency, and production behavior to identify issues, drift, or reliability concerns. Debug agent failures, integration errors, prompt breakdowns, or logic conflicts and implement corrective improvements. Support controlled rollout and stabilization of new agent capabilities.

Governance, Security, and Guardrails

Ensure agent configurations operate within approved governance, access, privacy, and security boundaries. Implement controls that support safe use, role-based access, escalation limits, and transparent handling of sensitive information. Partner with governance, privacy, compliance, or security stakeholders when agent workflows intersect with regulated or high-risk use cases. Document intended scope, limitations, approved sources, and operational guardrails for deployed agents.

Documentation and Technical Standards

Create and maintain technical documentation for agent architecture, integration design, configuration logic, deployment steps, and change history. Support coding standards, reproducibility, maintainability, and reusable design patterns across agent implementations. Contribute to technical best practices for AI-enabled workflow development and lifecycle support.

Cross-Functional Collaboration and Improvement

Partner with AI Trainers, software engineers, analysts, product/initiative leads, and subject matter experts to improve deployed agent performance and utility. Translate feedback from users and stakeholders into technical enhancements, configuration changes, or architecture improvements. Support ongoing maturation of enterprise AI-agent capabilities through disciplined iteration and lessons learned. Performs other duties as assigned.

Education

Bachelors in Computer Science or 4 years equivalent experience, Software Engineering, Information Systems, Data Engineering, or related field Required Masters in Computer Science, Artificial Intelligence, Data Science, or related field Preferred

Experience

Required 2 years, Experience with APIs, application integration, cloud-based platforms, or workflow orchestration

Required 3 years, Software engineering, systems integration, workflow automation, AI application development, or related experience

Preferred Experience with LLM-enabled applications, prompt design, retrieval patterns, agent frameworks, or tool-calling architectures

Preferred Experience in healthcare, HR, or other regulated enterprise environments

Preferred Experience with Microsoft Copilot Studio and/or Google Cloud Platform (GCP) AI tools

License and Certifications

Relevant cloud, AI platform, or software engineering certifications Preferred

We’re delivering a healthcare experience that simply feels better through:

• Nine acute-care hospitals
• Over 200 primary, specialty and urgent care centers
• More than 17,000 team members and 4,000 medical staff

Since 1927, we’ve been focused on doing what matters most — caring for people and communities across the greater Phoenix area.

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