AI Manufacturing Solutions Lead — Hands-On Prototyping

EY; Kansas City (MO); On-site; USD 128,000 - 257,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY in the United States is seeking a hands-on Solution Manager to design, build, test, and scale AI-enabled manufacturing solutions. You will work with data engineers, data scientists, AI engineers, and solution leaders to turn priority manufacturing use cases into production-ready assets.

This role emphasizes problem definition, data architecture, knowledge graphs, RAG deployments, and reusable components, with a focus on delivering credible, repeatable solutions across factories and sites.

Qualifications

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

Responsibilities

• Own the design, hands-on development, testing, documentation, and continuous improvement of AI-based manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
• Translate manufacturing problems into clearly defined AI use cases, user stories, functional requirements, technical requirements, data requirements, model requirements, acceptance criteria, and measurable operational outcomes.
• Lead use-case development from concept through working prototype, including problem definition, value hypothesis, process design, data assessment, solution architecture, configuration, model integration, testing, validation, and handoff for industrialization.
• Design manufacturing data platform architectures that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
• Develop reusable manufacturing data models spanning assets, sites, lines, equipment, products, materials, production orders, process parameters, quality events, maintenance activities, inventory, energy, labor, and performance measures.
• Define and implement manufacturing data ontologies, semantic models, taxonomies, metadata, entity relationships, and governance standards that establish consistent meaning across plants, systems, and use cases.

Skills

Solution engineering

AI/ML

Manufacturing domain knowledge

Data platforms

Knowledge graphs

RAG

Graph databases

MLOps/LLMOps

Agile product mgmt

Backlog management

Architectural design

Education

Bachelor’s degree in engineering / CS / data science / related field

Tools

SymphonyAI Industrial

IRIS Foundry

IRIS Forge

IRIS Flows

Cognite Data Fusion

Databricks

Snowflake

Neo4j

Job description

EY in the United States is seeking a hands-on Solution Manager to design, build, test, and scale AI-enabled manufacturing solutions. You will work with data engineers, data scientists, AI engineers, and solution leaders to turn priority manufacturing use cases into production-ready assets.

This role emphasizes problem definition, data architecture, knowledge graphs, RAG deployments, and reusable components, with a focus on delivering credible, repeatable solutions across factories and sites.