Staff Engineer(AI Operations Engineer)
Nagarro · Shanghai, China · 25d ago
Company Description
Job Description
Must have Skills : Model Context Protocol (MCP), CoPilot Studio
Good To Have Skills : Microsoft Azure Artificial Inteligence and Machine Learning (Capable), API Development and Integration (Capable)
Job Description :
We are seeking an AI Operations Engineer to ensure the reliability, governance, and adoption of AI solutions in China. This role focuses on MCP/API management, incident management for Copilot Studio, AI governance, and user enablement. You will not be responsible for active development this is a pure operations and governance role.
Key Responsibilities
1. MCP & API Management
Manage Model Context Protocol (MCP) interfaces ensuring reliable connections between AI tools and external data sources/APIs.
- Oversee API services for the AI platform, including stability, security, and performance monitoring.
- Configure and maintain context retrieval, grounding, and tool-calling patterns.
2. Copilot Studio Incident Management
- Lead incident management for Copilot Studio environments, including triage, root cause analysis, resolution, and post-incident reporting.
- Proactively monitor system health, implement improvements, and ensure high availability.
- Establish and track SLAs for incident response and resolution.
3. Service Operations & Reporting
- Generate service operation reports covering incidents, platform health, and API metrics.
- Drive continuous improvement based on operational data.
- Collaborate with development teams on RCA and preventive measures.
Requirements Experience:
3+ years in AI operations, SRE, or platform operations roles.
Proven experience with Copilot Studio or similar conversational AI platforms.
MCP & API: Hands-on experience managing Model Context Protocol interfaces and API services.
Incident Management: Strong background in incident response, monitoring, alerting, SLA management, and post-mortems.
User Enablement: Excellent communication and training skills; ability to translate technical concepts into user-friendly guidance.
Language: Fluent English (written and verbal) required for global collaboration. Collaboration: Comfortable working with product, engineering, and business teams.
Nice to Have
- Experience with Azure AI Services.
- Familiarity with multiple AI governance frameworks and regulatory requirements.