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# AI Platform Engineer

- **Company:** IDR, Inc.
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $195,520.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Configuration Management, DevOps, Microsoft Dynamics, OAuth, Systems Development Life Cycle, Systems Integration, Scripting, Cloud Platform System, Multi-Agent Systems, AI Platforms, Infrastructure Automation Frameworks, Deployment Automation, Enterprise Integration, Machine Learning Operations, Restful APIs
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=04f3069a9bfef191

## About the Role

Do you have experience in Scripting?, * 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering environments

 * Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, AWS, and enterprise integration architectures
 * Strong experience with CI/CD pipelines, infrastructure automation, deployment scripting, configuration management, and cloud-native/hybrid platform operations
 * Deep understanding of APIs, REST services, OAuth/authentication, enterprise integrations, platform security, governance, and operational engineering standards
 * Experience with observability, monitoring, telemetry, troubleshooting, and operational diagnostics within enterprise environments

## Description

* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365, Azure, AWS, APIs, integrations, and digital applications
 * Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
 * Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
 * Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
 * Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns


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