Cloud Solutions Engineer

Job Summary We are seeking a Cloud Solutions Engineer to design, build, and deploy production-ready AI agents that support enterprise workflows. This role focuses on developing reliable, secure, and scalable AI-driven solutions using modern cloud platforms and agent-based architectures. The ideal candidate will have hands-on experience with AI/LLM applications, strong development skills, and expertise in cloud-based deployments and integrations. Key Responsibilities Design and implement AI agents using platforms such as Microsoft Copilot Studio, AWS services, and Google Vertex AI. Build and manage agent workflows, including intent handling, tool integration, memory management, and multi-step execution. Develop and optimize prompts, system instructions, and grounding strategies to ensure consistent agent behavior. Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, APIs, and document repositories. Integrate AI agents with enterprise systems, APIs, and cloud services. Deploy and manage solutions across development, testing, and production environments. Implement security controls, including authentication, authorization, and data access governance. Monitor system performance, logging, and usage metrics to improve reliability and efficiency. Troubleshoot and resolve issues related to agent behavior, integrations, and system performance. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Contribute to documentation, reusable frameworks, and deployment best practices. Required Qualifications 5+ years of experience in software engineering, platform engineering, or cloud engineering. Hands-on experience building AI/LLM-based applications or intelligent agents. Strong programming skills in Python and/or JavaScript/TypeScript. Experience deploying applications in cloud environments such as Azure, AWS, or Google Cloud Platform. Experience working with APIs, authentication mechanisms, and system integrations. Strong problem-solving, analytical, and troubleshooting skills. Ability to work collaboratively across teams and manage multiple priorities. Preferred Qualifications Experience with Microsoft Copilot Studio or Power Platform extensions. Experience with AWS AI/ML services or Google Vertex AI. Familiarity with agent-based architectures, including orchestration, tool usage, and memory management. Experience implementing Retrieval-Augmented Generation (RAG) architectures. Exposure to CI/CD pipelines and environment promotion practices. Experience working in enterprise or regulated environments. Education: Bachelors Degree