Staff Engineer(AI Operations Engineer)

Posted 9 Days Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Operate and govern AI solutions in China by managing MCP interfaces and APIs, monitoring Copilot Studio environments, handling incidents, conducting root cause analysis, tracking SLAs, and producing service reports. The role focuses on reliability, security, performance, governance, continuous improvement, and user enablement rather than active development. It requires collaboration with engineering, product, and business teams, along with technical training and clear communication.
Summary Generated by Built In
Job Description

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.

Skills Required

  • 3+ years of experience in AI operations, SRE, or platform operations roles
  • Proven experience with Copilot Studio or similar conversational AI platforms
  • Hands-on experience managing Model Context Protocol interfaces and API services
  • Experience with incident response, monitoring, alerting, SLA management, and post-mortems
  • Excellent communication and training skills, including translating technical concepts into user-friendly guidance
  • Fluent English, written and verbal
  • Ability to collaborate with product, engineering, and business teams
  • Experience with Azure AI Services
  • Familiarity with multiple AI governance frameworks and regulatory requirements

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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