Senior Cloud/AI Engineer (W2)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Voto Consulting LLC, is seeking the following. Apply via Dice today!

Job Title: Senior Cloud/AI Engineer (W2)

Location: Multiple

Duration: 6 Months CTH

Visa: USC

W2 Role

Location: Columbus OH, Dallas, TX, Detroit, MI, Chicago, IL, Minneapolis, MN

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 Google Cloud Platform)
• 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