AI Operations Analyst — Enterprise AI & Chatbot Expert

Albemarle

Santiago

Hybrid

CLP 12,412,000 - 24,824,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Comprehensive benefits package
Resources to support professional and/

Job summary

Albemarle is hiring an AI Operations Analyst for a hybrid role in Bengaluru, India. The candidate will support and optimize enterprise AI platforms such as Microsoft Copilot, Aisera, and Azure AI, collaborating with IT, SAP, Workday, and business teams to ensure reliable, secure AI services.

The role emphasizes production support, incident management, KPI tracking, and continuous improvement of AI solutions, with a focus on user satisfaction and operational excellence.

Qualifications

  • 2-4 years of experience in AI Operations and Continuous Improvement.
  • Experience supporting enterprise AI and conversational AI platforms such as Copilot, Aisera, or similar solutions.
  • Experience with ITIL-based Incident, Problem, Change, and Release Management including RCA.

Responsibilities

  • Provide Level 2/3 operational support for enterprise AI chatbot and Copilot platforms.
  • Investigate and resolve incidents, service requests, and production issues across AI and connected enterprise applications.
  • Develop dashboards, reports, and actionable insights for stakeholders.
  • Conduct RCA, document corrective actions, and drive problem management to reduce recurring issues.

Skills

AI Operations
Incident management
KPI and dashboards
Stakeholder management
Chatbot/Generative AI

Education

Bachelor's degree in information systems, Computer Science, Engineering, Business Technology, Data Analytics

Tools

Microsoft Copilot
Aisera
Azure AI
Moveworks
Power BI
Azure DevOps
Microsoft 365

Job description

Albemarle is hiring an AI Operations Analyst for a hybrid role in Bengaluru, India. The candidate will support and optimize enterprise AI platforms such as Microsoft Copilot, Aisera, and Azure AI, collaborating with IT, SAP, Workday, and business teams to ensure reliable, secure AI services.

The role emphasizes production support, incident management, KPI tracking, and continuous improvement of AI solutions, with a focus on user satisfaction and operational excellence.

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