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Role Summary
The Senior Cloud/AI Engineer is responsible for building and deploying production-grade AI agents that power enterprise workflows. This is a hands-on role focused on delivering secure, reliable, and scalable solutions using modern AI platforms and cloud technologies.
Key Responsibilities
- Design, develop, and deploy AI agents using platforms like Copilot Studio, AWS, and Vertex AI
- Build agent workflows including intent handling, tool usage, memory, and multi-step execution
- Create and refine prompts, system instructions, and grounding techniques for consistent performance
- Implement RAG solutions leveraging enterprise data, APIs, and document systems
- Integrate AI agents with internal platforms and enterprise services
- Manage deployments across development, testing, and production environments
- Apply security best practices (authentication, authorization, data access controls)
- Monitor performance, logging, and usage to improve reliability and quality
- Troubleshoot agent behavior, integrations, and system issues
- Collaborate with cross-functional teams to deliver approved solutions
- Develop documentation, reusable components, and deployment standards
Required Qualifications
- 5+ years in software, cloud, or platform engineering
- Experience building AI/LLM-based applications or agents
- Strong programming skills (Python and/or JavaScript/TypeScript)
- Experience with cloud platforms (Azure, AWS, or GCP)
- Solid understanding of APIs, integrations, and authentication
Preferred Qualifications
- Experience with Copilot Studio or similar platforms
- Familiarity with AWS AI/ML or Google Vertex AI
- Understanding of agent design (tool use, memory, orchestration)
- Experience implementing RAG architectures
- Knowledge of CI/CD and deployment pipelines
- Experience in enterprise or regulated environments
- Strong problem-solving, documentation, and teamwork skills