Staff Engineer(AI Operations Engineer)

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

• 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.
• 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.
• 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.