Manufacturing AI Solutions Lead

EY

Tucson (AZ)

On-site

USD 120,000 - 190,000

Full time

40 hours ago
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Job summary

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions across MES, ERP, SCADA, and IoT environments. You will work with multidisciplinary teams to turn priority use cases into production-ready assets.

This hands-on role focuses on creating reusable accelerators, reference architectures, and knowledge graphs, with an emphasis on governance, data models, and adaptive AI copilots to support industrial decision

Qualifications

  • Hands-on experience in building AI-enabled manufacturing solutions.
  • Strong knowledge of industrial data platforms and governance.
  • Experience with knowledge graphs and semantic models.
  • Experience delivering reusable solution assets for pursuit and delivery teams.

Responsibilities

  • Own end-to-end design, development, testing, and documentation of AI-based manufacturing solutions.
  • Translate problems into AI use cases, requirements, and measurable outcomes.
  • Lead use-case development from concept to working prototype and industrialization.
  • Design data platform architectures connecting MES/ERP/SCADA and other systems.
  • Build and operationalise knowledge graphs and RAG-enabled copilots and agents.
  • Establish development standards, backlogs, and release plans in agile cycles.

Skills

Hands-on solution-engineering
Manufacturing data platforms
Knowledge graphs
RAG solutions
Data modeling
Ontologies
AI models
Edge-to-cloud architectures

Tools

APIs
Graph databases
LLMOps
Data integration

Job description

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions across MES, ERP, SCADA, and IoT environments. You will work with multidisciplinary teams to turn priority use cases into production-ready assets.

This hands-on role focuses on creating reusable accelerators, reference architectures, and knowledge graphs, with an emphasis on governance, data models, and adaptive AI copilots to support industrial decision

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