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Cloud Solutions Engineer IV

United States, Columbus · Job Posted April 23, 2026
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Job Description

We are seeking a Cloud / AI Engineer to be responsible for designing, building, and deploying production-ready AI agents that support enterprise workflows. This is a hands-on, execution-focused role that works with modern agent platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI to deliver secure, reliable, and well-governed AI solutions across the organization.

Job Responsibility

  • Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI
  • Develop agent workflows including intent handling, tool calling, memory management, and multi-step task execution
  • Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior
  • Implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories
  • Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services
  • Deploy and manage agents across development, test, and production environments
  • Implement security controls including identity management, authorization, and data access boundaries for AI agents
  • Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness
  • Troubleshoot agent behavior, tool failures, and system integration issues
  • Collaborate with platform, security, and application teams to deliver approved AI agent use cases.

Requirements

  • 5 or more years of experience in software engineering, platform engineering, or cloud engineering
  • Hands-on experience building LLM-based applications or AI agents
  • Strong development skills in Python and or JavaScript / TypeScript
  • Experience deploying and operating services in cloud environments such as Azure, AWS, or GCP
  • Strong experience working with APIs, authentication mechanisms, and system integrations.

Nice to have

  • Experience with Microsoft Copilot Studio or Power Platform extensions
  • Experience with AWS AI and ML services or Google Vertex AI
  • Familiarity with agent concepts such as tool calling, memory, and orchestration
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures
  • Exposure to CI/CD pipelines and environment promotion practices
  • Experience operating applications in enterprise or regulated environments
  • Strong debugging, documentation, and cross-team collaboration skills.

What we offer

  • medical, vision, dental, and life and disability insurance
  • enrollment in company 401(k) plan.

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