AI Operations Analyst

Overview

Join Albemarle's enterprise AI team as an AI Operations Analyst to develop, enhance, integrate and support AI-powered applications across the organization.

What you'll do

• Assist in developing GenAI, Retrieval-Augmented Generation (RAG) and Agentic solutions involving prompt engineering, grounding, context management, structured responses, document ingestion, chunking, embeddings, semantic/vector search, retrieval, response generation and AI workflow orchestration.
• Evaluate AI-generated responses for accuracy, relevance, groundedness, completeness and user experience.
• Analyze prompts, conversation flows, knowledge sources, retrieval results and user feedback to identify opportunities for improvement.
• Assist with building evaluation datasets, test cases and repeatable methods for measuring AI solution quality.
• Identify opportunities to improve AI solutions through better prompts, retrieval techniques, knowledge content, integration, automation and application design.
• Investigate and resolve incidents, service requests, production issues and integration failures across AI and connected enterprise applications.
• Participate in building prototypes and Proofs of Concept (PoCs) to evaluate new AI technologies and translate promising concepts into enterprise solutions.
• Serve as a liaison between business users, IT teams, AI platform owners and enterprise application teams, working with IT, HR, Finance, Procurement, Supply Chain, Shared Services, SAP, Workday and Microsoft 365 stakeholders.
• Support production support, incident management, performance monitoring, analytics, root cause analysis and continuous improvement of enterprise AI services.

What you'll need

• Bachelor's degree in information systems, Computer Science, Engineering, Business Technology, Data Analytics or a related discipline.
• 2-4 years of experience in Data Analytics, Automation or AI/ML domain.
• Demonstrated interest in transitioning into AI / Generative AI development, supported by coursework, certifications, personal or professional projects, prototypes, hackathons or other hands-on learning.
• Strong knowledge of chatbot operations, conversational AI optimization, prompt engineering, AI response tuning and knowledge (KBA) management.
• Working knowledge of Python or another programming language, with willingness to develop strong Python skills.
• Working knowledge of SQL, data structures, data preparation, APIs, JSON or related data/integration concepts.
• Familiarity with Azure ML, Azure AI Foundry, Copilot Studio, Azure DevOps, Power Platform and the broader Microsoft AI ecosystem.
• Experience analyzing technical problems, working with data, troubleshooting issues, driving self-service adoption, chatbot containment improvements, user experience enhancements and continuous improvement initiatives.
• Good stakeholder management, communication and cross-functional collaboration skills, with experience working across global business and technical teams.

Nice to have

• Relevant certifications in AI, Analytics, Cloud Technologies, Microsoft Platforms or ITIL Foundation.

Details

• Hybrid role located in Bengaluru, India.