Staff Engineer(AI Operations Engineer)

Nagarro • English: C1 • 12 hours ago
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Nagarro

Nagarro is a global digital engineering and technology solutions firm that specializes in custom software development, cloud transformation, and AI-driven innovation for enterprise clients. Headquartered in Germany, the company operates across more than 30 countries with an agile, non-hierarchical organizational model tailored for rapid digital product engineering. Partnering with leading organizations across industries such as automotive, financial services, and healthcare, it helps businesses accelerate digital transformation and modernize complex IT systems.
nagarro.com • HQ: Gurgaon, India • HQ: Munich, Germany • Software • Artificial Intelligence • Information Technology • 1001-5000 employees

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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