Partner with Manufacturing, Quality, Process Engineering, Maintenance, Supply Chain, and IT teams to translate business and operational requirements into effective MES solutions.
Lead incident management, root-cause analysis, problem resolution, and service-level performance for production-critical MES applications.
Ensure MES solutions and controls meet quality, regulatory, audit, cybersecurity, data integrity, and traceability requirements.
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Proactively manage quality standards across the entire development landscape, including the local team, AIA offshore development centers, and external vendors.
No overdue items in completion of management actions to address audit findings.
Timely remediation for any vulnerabilities reported within the Standard timeline.
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Design and develop AI-powered applications in collaboration with solution architects and cross-functional engineering teams.
Apply modern AI technologies, including LLMs, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and machine learning, where appropriate.
Develop solutions that leverage manufacturing and engineering data, knowledge bases, documents, reports, and relevant Fab systems.
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Partner with Technology teams to evaluate solution options and recommend optimal approaches
Translate business requirements into UAT scenarios, test conditions, and expected outcomes
Plan, execute, and review User Acceptance Testing (UAT) in accordance with agreed test strategies, including defect management and resolution tracking
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