Staff Engineer(AI Operations Engineer)

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

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.