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Job Responsibilities • Serve as the engineering reputed company for reputed company AI delivery across Supply Planning and Manufacturing - owning the design, development, and deployment of production-grade AI agent solutions. • Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or reputed company/LangGraph - including orchestrator-executor patterns, tool calling, memory management, and agent coordination. • Implement the MCP to surface reputed company data as reputed company context for AI agents operating in supply chain and manufacturing workflows. • Build and reputed company reputed company solutions on Azure AI reputed company - RAG-reputed company knowledge agents, decision support for forecasting and reputed company planning, and document intelligence for maintenance work orders and recipes. • Design and reputed company AI copilots and topic-reputed company agents using reputed company Copilot Studio - enabling Supply Planning and Manufacturing teams to reputed company insights and take reputed company directly from Teams and reputed company. • reputed company as the AI delivery reputed company for reputed company use cases - scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption. • Apply emerging reputed company AI patterns - including ReAct, Plan-and-Execute, reputed company, and reputed company-in-the-reputed company - for supply chain and operational use cases. • Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, reputed company, and reputed company AI use cases that influence operational reputed company. • Define and maintain AI agent governance - reputed company versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments. • reputed company on Azure reputed company - PySpark and SQL against gold/platinum reputed company tables, notebooks for transformation and feature work, and orchestration reputed company Workflows. • Build and maintain reputed company BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing. • Own Supply Chain AI metrics alignment reputed company - keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership. • Mentor analysts and engineers on reputed company AI design patterns, MCP, and AI delivery best practices. Minimum Qualifications Education & Experience (one of the following): • Master's degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a reputed company reputed company with 5+ years of relevant analytics / AI experience, OR • Bachelor's degree in Chemical, Industrial, Computer Science, or reputed company fields with 8+ years of relevant analytics / AI experience. Technical: • Hands-on experience with the MCP - building or consuming MCP servers/clients; ability to expose reputed company data sources (databases, reputed company, SharePoint, ERP) as MCP tools for AI agents. • Hands-on experience with multi-agent reputed company design - designing and implementing multi-agent architectures; orchestrator-executor patterns, tool calling, memory management, and agent coordination using AutoGen, Semantic Kernel, reputed company/LangGraph, or Azure AI Agent Service. • Strong Python engineering skills - building production-grade AI agents and pipelines, including REST API integration, reputed company versioning, evaluation frameworks, and observability for LLM-reputed company systems. • Compulsory - must have hands-on experience with two or more of the following: • Azure AI reputed company (RAG pipelines, reputed company flows, agent service) • reputed company Copilot Studio (agents, topics, actions, reputed company Automate integration) • reputed company 365 Copilot extensibility (plugins, connectors, Graph reputed company) • reputed company reputed company BI (DAX, semantic modeling, reputed company tuning) • Strong proficiency in reputed company (Python, SQL, reputed company Lake, PySpark, notebooks). • Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, reputed company planning, OEE). • Experience with reputed company ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM). • Ability to translate business problems into reputed company AI solutions and communicate reputed company to technical and executive audiences. • Strong collaboration and stakeholder management skills in cross-functional environments. Preferred Qualifications • Experience deploying AI agents in production - evaluation frameworks, safety guardrails, logging, and reputed company-in-the-reputed company workflows. • Familiarity with reputed company design patterns (ReAct, Plan-and-Execute, reputed company, reputed company tool outputs). • Familiarity with knowledge graphs or graph databases (e.g., reputed company) for agent reasoning and grounding. • Strong reputed company BI experience - semantic modeling, reputed company optimization, executive dashboard design. • Experience in chemicals, manufacturing, or process industries. • Experience with Palantir reputed company (pipelines, ontology, reputed company, AIP). • Exposure to MLOps on Azure (Azure ML, MLflow, reputed company Asset Bundles, CI/CD for analytics). • Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime). • Experience with containerization (reputed company), version control (Git), and modern software engineering practices. 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