Cloud Solutions Engineer: IV (Lead)

Location: Columbus, Akron, Cleveland, OH, Dallas, TX, Minnetonka, MN, Charlotte, NC, Chicago, IL, Pittsburgh, PA and Denver, CO

Role Summary

The Senior Cloud/AI Engineer will design, build, and deploy production - ready AI agents using platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI. This role is hands - on and execution - focused, supporting enterprise workflows through reliable, secure, and well - governed AI agents. Key Responsibilities

Design and implement AI agents using Copilot Studio, AWS Agent Core, and Google Vertex AI

Build agent workflows including intent handling, tool calling, memory usage, and multi - step task execution

Develop and optimize prompts, system instructions, and grounding strategies to ensure consistent agent behavior

Implement Retrieval - Augmented Generation (RAG) patterns using enterprise data sources, APIs, and document repositories

Integrate agents with enterprise systems and APIs (ServiceNow, internal platforms, cloud services)

Deploy and manage agents across development, test, and production environments

Implement security controls including identity, authorization, and data access boundaries for agents

Support monitoring, logging, and usage analysis to improve agent quality, reliability, and performance

Troubleshoot agent behavior, tool failures, and integration issues

Collaborate with platform, security, and application teams to deliver approved agent use cases

Contribute to documentation, reusable patterns, and deployment playbooks Required Qualifications

5+ years of experience in software, platform, or cloud engineering

Hands - on experience building LLM - based applications or AI agents

Strong development skills in Python and/or JavaScript/TypeScript

Experience deploying services in cloud environments (Azure, AWS, or GCP)

Strong experience with APIs, authentication, and integrations Preferred Qualifications

Experience with Microsoft Copilot Studio or Power Platform extensions

Experience with AWS AI/ML services or Google Vertex AI

Familiarity with agent concepts (tool calling, memory, orchestration)

Experience implementing RAG architectures

Exposure to CI/CD pipelines and environment promotion

Experience operating applications in enterprise or regulated environments

Strong debugging, documentation, and collaboration skills