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Staff Engineer(AI Operations Engineer)

Nagarro

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Azure jobs · Machine learning jobs

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  1. Why do you want to join Nagarro?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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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.

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Listed on smartrecruiters · posted 2026-09-02. ApplySarthi collects openings and links to application pages; the role is advertised by Nagarro, not by us.