11 дней назад
Staff Engineer (AI Operations Engineer)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer (AI Operations Engineer) (MCP/Copilot Studio): Ensuring the reliability, governance, and adoption of AI solutions in China with an accent on MCP and API management, Copilot Studio incident response, and service operations. Focus on monitoring platform health, conducting root cause analysis, managing SLAs, and enabling users through clear technical guidance.
Location: Shanghai, China; Service Region: China
Company
delivers technology and digital engineering services.
What you will do
- Manage Model Context Protocol (MCP) interfaces and maintain reliable connections between AI tools, external data sources, and APIs.
- Oversee AI platform API services, including stability, security, performance monitoring, context retrieval, grounding, and tool-calling patterns.
- Lead Copilot Studio incident management, including triage, root cause analysis, resolution, and post-incident reporting.
- Monitor system health, improve availability, and establish and track incident response and resolution SLAs.
- Prepare operational reports covering incidents, platform health, and API metrics, and drive continuous improvement with development teams.
- Enable users by translating technical concepts into practical guidance and training.
Requirements
- At least 3 years of experience in AI operations, SRE, or platform operations.
- Hands-on experience with MCP interfaces and API services.
- Experience with Copilot Studio or similar conversational AI platforms.
- Strong background in incident response, monitoring, alerting, SLA management, and post-mortems.
- Fluent English, written and verbal, is required for global collaboration.
- Strong communication and training skills, with the ability to work with product, engineering, and business teams.
Nice to have
- Experience with Azure AI Services.
- Familiarity with AI governance frameworks and regulatory requirements.
Culture & Benefits
- Collaboration with product, engineering, and business teams.
- Focus on reliable, governed, and widely adopted AI solutions.
- Global collaboration through fluent English communication.
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