AI Solutions Manager — Manufacturing Operations

EY; Detroit (MI); On-site; USD 130,000 - 190,000; Full time

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 manufacturing data platforms, industrial data architectures, predictive and generative AI, knowledge graphs, retrieval-augmented generation (RAG), data ontologies, and reusable application components.

This is a hands-on solution-building role focused on creating working solutions, prototypes,

Qualifications

• Hands-on solution-engineering across manufacturing operations, data, AI, and deployment.
• Knowledge of manufacturing data platforms, DataOps, and edge-to-cloud architectures.
• Experience with knowledge graphs, semantic layers, ontologies, and metadata governance.
• Familiarity with building AI solutions (predictive, prescriptive, generative) for industry.

Responsibilities

• Own end-to-end design, development, testing, and continual improvement of AI-based manufacturing solutions.
• Translate problems into AI use cases, requirements, and measurable outcomes.
• Lead cross-functional development from concept to prototype to industrialization.
• Design data models, ontologies, and governance standards for consistent meaning across plants.
• Build reference implementations, knowledge graphs, and RAG-enabled copilots and agents.
• Package solutions with documentation, configuration guides, and enablement materials.

Skills

Solution engineering

Manufacturing data platforms

Knowledge graphs

RAG solutions

Data modeling

Ontologies

Industrial AI

APIs & integrations

Tools

APIs

Low-code platforms

Data pipelines

Graph databases

LLMOps

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 manufacturing data platforms, industrial data architectures, predictive and generative AI, knowledge graphs, retrieval-augmented generation (RAG), data ontologies, and reusable application components.

This is a hands-on solution-building role focused on creating working solutions, prototypes,