AI Agent Developer

HonorHealth

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

Posted 10/12/2026full-timeArizona • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI agents and workflows, with a strong focus on API integration, compliance, and security. Proficient in translating business requirements into technical specifications and ensuring reliable, maintainable, and secure agent capabilities.

Highest-signal resume keywords

AI Agent DevelopmentAPI IntegrationWorkflow AutomationLLM-Enabled ApplicationsMicrosoft Copilot Studio

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystems IntegrationPrompt DesignTask ExecutionContent RetrievalMulti-Step ReasoningDebuggingTestingConfiguration ManagementData Flow Management

Soft Skills

CollaborationProblem-SolvingCommunicationAdaptabilityAttention to Detail

Tools & Technologies

Google Cloud PlatformOrchestration ToolsEnterprise PlatformsKnowledge BasesSecurity Tools

Certifications & Qualifications

Cloud CertificationsAI Platform CertificationsSoftware Engineering Certifications

Industry Keywords

HealthcareHRRegulated EnvironmentsGovernancePrivacy Compliance

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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 multi-step reasoning, content retrieval, workflow support, and task execution behaviors within approved boundaries
Configure agent inputs, outputs, memory patterns, permissions, and interaction rules
Connect agents to enterprise tools, systems, APIs, knowledge bases, workflow platforms, and data sources
Build and maintain secure, reliable integrations for information retrieval and task support
Collaborate with technical teams on connectivity, authentication, data flow, and architecture alignment
Develop and execute tests for agent behavior, edge cases, workflow reliability, and failure recovery
Monitor outputs, tool calls, workflow consistency, and production behavior for issues, drift, and reliability concerns
Debug agent failures, integration errors, prompt breakdowns, and logic conflicts; implement corrective improvements
Support controlled rollout and stabilization of new agent capabilities
Ensure compliance with governance, access, privacy, and security boundaries
Implement role-based access, escalation limits, and sensitive-information controls
Partner with governance, privacy, compliance, and security stakeholders on regulated or high-risk use cases
Document agent scope, limitations, approved sources, guardrails, architecture, integrations, configurations, deployments, and change history
Support coding standards, reproducibility, maintainability, and reusable design patterns
Collaborate with AI Trainers, software engineers, analysts, product/initiative leads, and subject matter experts
Translate user and stakeholder feedback into technical enhancements and architecture improvements
Support ongoing maturation of enterprise AI-agent capabilities through disciplined iteration and lessons learned
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field, or 4 years of equivalent experience
2 years of experience with APIs, application integration, cloud-based platforms, or workflow orchestration
3 years of experience in software engineering, systems integration, workflow automation, AI application development, or related experience
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 preferred
Relevant cloud, AI platform, or software engineering certifications preferred
Ability to work Monday-Friday day shifts
Must be located in Arizona
Occasional on-site attendance as needed

Benefits

Comp & perks

Career development opportunities
Occasional on-site work as needed