AI Solution Lead for Smart Manufacturing Operations

Ernst & Young Oman

Memphis (TN)

Remote

USD 154,000 - 257,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
Total rewards package

Job summary

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions. You will work with data engineers, AI engineers, software developers, and business leaders to turn priority use cases into production-ready assets.

You will be responsible for end-to-end solution development, data platform architectures, and reusable solution components that can be deployed by pursuit and delivery teams.

Qualifications

  • Bachelor's degree in engineering or related field.
  • Experience building AI/ML solutions for manufacturing.
  • Knowledge of MES/MOM, ERP, SCADA, PLC is preferred.
  • Experience with knowledge graphs and AI copilots.

Responsibilities

  • Own the design, hands-on development, testing, documentation, and continuous improvement of AI-based manufacturing solutions, prototypes, accelerators, demonstrations, and reusable components.
  • Translate manufacturing problems into defined AI use cases, user stories, and functional requirements.
  • Lead use-case development from concept through working prototype and industrialization handoff.
  • Design manufacturing data platform architectures connecting MES/MOM, ERP, historians, SCADA, PLC, IoT and more.

Skills

Hands-on engineering
AI platforms
Manufacturing data
RAG solutions
Graph knowledge
Agile methods
Team collaboration

Education

Bachelor's degree in engineering
CS/Engineering background

Tools

Python
SQL
Graph databases
APIs
Cloud platforms

Job description

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale AI-enabled manufacturing solutions. You will work with data engineers, AI engineers, software developers, and business leaders to turn priority use cases into production-ready assets.

You will be responsible for end-to-end solution development, data platform architectures, and reusable solution components that can be deployed by pursuit and delivery teams.

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