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Niche AI+ERP+GxP skillset reduces applicant density.
Strong manufacturing, supply chain and regulated (GxP) requirements make cross-industry fit limited.
Mandatory ML, MLOps, ERP/SAP integration and GxP manufacturing experience imply high shortlisting strictness.
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Design, build, and integrate AI agents that execute tasks and transactions directly within MES, QMS, and ERP systems in Manufacturing & Supply Chain operations.
Own the full lifecycle of AI agentic solutions from proof-of-concept to production deployment, monitoring, and ongoing operations to ensure reliable, compliant autonomous actions.
Embed with business teams (Supply Chain, Manufacturing, Quality) as a Forward Deployed Engineer to identify use cases and ship production-grade AI agents into live workflows.
Strong hands-on software and AI engineering skills with Python and production-ready practices including OOP, version control, testing, and CI/CD.
Experience designing and deploying LLM-powered, agentic AI solutions with system integration using APIs and knowledge of MES, QMS, ERP (SAP), and manufacturing/supply chain data.
Experience operationalizing models and agents with MLOps/AgentOps tools and cloud environments (Azure, AWS, GCP).
Work Experience Required: Not explicitly mentioned in the JD; Education: Degree in Computer Science, Engineering, Data Science or related quantitative field.
Expert in building integrated, autonomous AI agent workflows within regulated manufacturing or supply chain environments, familiar with GxP compliance and quality systems.
Capable of translating complex business processes and KPIs into deployable agentic AI solutions that deliver measurable business impact in Manufacturing & Supply.
Thrives operating as a Forward Deployed Engineer working closely with cross-functional teams to ship end-to-end AI solutions embedded in live operations.