AI Operations Analyst

Albemarle
India
Workplace: HybridFull timeFunction: Business OperationsExperience: 2-4 yearsEducation: bachelorsSkills: ["Stakeholder management","Communication","Cross-functional collaboration","Incident management","Root cause analysis"]

Provide Level 2/Level 3 production support for enterprise conversational AI and Copilot platforms, ensuring availability, performance, reliability, and user satisfaction. Investigate and resolve incidents, service requests, and integration failures; monitor health, adoption, and operational KPIs; and perform root-cause analysis to prevent recurring issues. Collaborate with IT, HR, Finance, and enterprise application teams to improve chatbot accuracy, prompts, knowledge sources, and release governance.

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FursaFursa
Albemarle
Albemarle
5 hours ago

AI Operations Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Provide Level 2/Level 3 production support for enterprise conversational AI and Copilot platforms, ensuring availability, performance, reliability, and user satisfaction. Investigate and resolve incidents, service requests, and integration failures; monitor health, adoption, and operational KPIs; and perform root-cause analysis to prevent recurring issues. Collaborate with IT, HR, Finance, and enterprise application teams to improve chatbot accuracy, prompts, knowledge sources, and release governance.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Business Operations
Seniority: Mid level

Key Responsibilities

  • •Provide Level 2/Level 3 operational support for enterprise AI chatbot and Copilot platforms, ensuring availability, performance, reliability, and user satisfaction.
  • •Investigate and resolve incidents, service requests, production issues, and integration failures across AI and connected enterprise applications.
  • •Troubleshoot chatbot responses, conversation flows, prompts, knowledge sources, and data retrieval issues to improve solution effectiveness.
  • •Monitor platform health, adoption, containment rates, user feedback, operational KPIs, and service-level performance, and report insights.
  • •Conduct root cause analysis, document corrective actions, and support releases with testing, deployment validation, governance requirements, and post-production monitoring.

Key Requirements

  • •Bachelor’s degree in information systems, Computer Science, Engineering, Business Technology, Data Analytics, or a related discipline.
  • •2–4 years of experience in AI Operations and Continuous Improvement.
  • •Experience supporting enterprise AI and conversational AI platforms (e.g., Microsoft Copilot/Copilot Studio, Aisera, virtual assistants).
  • •Production experience with Generative AI platforms, including monitoring, incident resolution, and operational support.
  • •Knowledge of chatbot operations and conversational AI optimization, including prompt engineering, knowledge management, and ITIL-based Incident/Problem/Change/Release management (with RCA).
Experience:2-4 yearsEnterprise AIConversational AIGenerative AIITILContinuous improvement
Education:Bachelor's
Skills:Stakeholder managementCommunicationCross-functional collaborationIncident managementRoot cause analysis
Certifications:ITIL Foundation
Tech Stack:Microsoft CopilotCopilot StudioAzure AIAiseraMoveworksMicrosoft 365SAPWorkdayServiceNowFreshserviceAzure AI FoundryAzure OpenAIAzure DevOpsPower PlatformPower BIMicrosoft FabricITIL

Company Brief

Albemarle
Global specialty chemicals company best known for lithium, bromine, and catalysts used in batteries, energy storage, refining, and industrial applications. Serves customers across electronics, transportation, and performance materials markets.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 5M to 10M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1994
WebsiteLinkedIn