AI Solutions Lead for Manufacturing Operations

Ernst & Young Oman

Boston (MA)

On-site

USD 140,000 - 235,000

Full time

14 days+
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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. You will combine manufacturing domain knowledge with data platforms and knowledge graphs to create production-ready assets.

This hands-on role focuses on prototypes, accelerators, reference architectures, and reusable IP that can be deployed by pursuit and delivery teams, collaborating with data engineers, data scientists, and software developers.

Qualifications

  • Bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or related discipline.
  • Hands-on experience building AI manufacturing solutions and reusable components.
  • Experience translating problems into AI use cases, requirements, and success criteria.

Responsibilities

  • Own the end-to-end design, development, testing, and deployment of AI-based manufacturing solutions.
  • Translate manufacturing problems into AI use cases, requirements, and acceptance criteria.
  • Design data platform architectures connecting MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, and maintenance systems.
  • Develop reusable knowledge graphs, RAG solutions, copilots, and agent workflows for production use cases.

Skills

Solution engineering
AI in manufacturing
Data architectures
MLOps familiarity

Education

Bachelor’s degree in engineering or related field

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 combine manufacturing domain knowledge with data platforms and knowledge graphs to create production-ready assets.

This hands-on role focuses on prototypes, accelerators, reference architectures, and reusable IP that can be deployed by pursuit and delivery teams, collaborating with data engineers, data scientists, and software developers.

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