Cloud Solutions Engineer IV (Lead)

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.

Key Responsibilities:

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

Qualifications:

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 Google Cloud Platform

Strong experience working with APIs, authentication mechanisms, and system integrations.

Preferred Qualifications:

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.

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