Staff Engineer(AI Operations Engineer)

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.