AI Solutions Manager – Manufacturing Operations

Ernst & Young Oman; Atlanta (GA); Remote; USD 128,000 - 257,000; Full time

Job summary

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale differentiated AI-enabled manufacturing solutions. You will combine manufacturing domain knowledge with data platforms, semantic models, and RAG patterns to deliver repeatable assets.

This is a hands-on role focused on creating working prototypes, reference architectures, and reusable IP that can be deployed by pursuit and delivery teams across MES/MOM, ERP, historians, SCADA, PLC, and IoT

Qualifications

• Bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
• At least 4–6 years of relevant AI solution development or industrial data platform experience.
• Experience with MES/MOM, ERP, SCADA, and industrial data integration.
• Strong collaboration skills across multi-disciplinary teams in pursuit and delivery.

Responsibilities

• Own end-to-end development of AI-enabled manufacturing solutions and reusable data foundations.
• Translate manufacturing problems into clearly defined AI use cases, requirements, and acceptance criteria.
• Lead use-case development from concept to working prototype and handoff for industrialization.
• Design manufacturing data platform architectures and governance standards.

Skills

Hands-on solution-engineering

Manufacturing data platforms

Knowledge graphs

RAG solutions

AI model integration

Education

Bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or related discipline

Tools

SymphonyAI Industrial

Job description

EY is seeking a Solution Manager in Supply Chain Manufacturing Operations to design, build, test, and scale differentiated AI-enabled manufacturing solutions. You will combine manufacturing domain knowledge with data platforms, semantic models, and RAG patterns to deliver repeatable assets.

This is a hands-on role focused on creating working prototypes, reference architectures, and reusable IP that can be deployed by pursuit and delivery teams across MES/MOM, ERP, historians, SCADA, PLC, and IoT