AI Agent Developer

HonorHealth is hiring an AI Agent Developer to design, build, deploy, and maintain AI agents and agent-enabled workflows for enterprise productivity, decision support, and process execution. The role integrates agents with approved systems and knowledge sources, tests their reliability, and ensures they operate within governance, privacy, and security boundaries.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• 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