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# AI Data Architect

- **Company:** Apptad Inc.
- **Location:** Cleveland, OH, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Data Architecture, Data Governance, Supervisory Control and Data Acquisition (SCADA), Azure Machine Learning, SAP (Applications), Data Streaming, Systems Integration, Azure Service Bus, Digital Twin, Snowflake, Apache Kafka, Data Management, Machine Learning Operations, Human in the Loop, Databricks
- **Published:** May 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us35fa878194a3d3798e9036fbe8e27361

## About the Role

Must Have Experience :
10+ years in data / analytics architecture, with strong manufacturing or industrial experience
3+ years designing and deploying AI/ML and/or GenAI solutions in production
Hands on experience with plant data, time series analytics, and OT/IT integration
Strong consulting skills: structured problem solving, executive communication, workshop facilitation
Preferred Skills
Cloud platforms (Azure / AWS / GCP), Databricks or Snowflake
Streaming (Kafka / Event Hubs), ML platforms (MLflow, Azure ML, SageMaker)
GenAI platforms (Azure OpenAI, Bedrock, Vertex AI) and vector databases
Exposure to digital thread, smart factory, or digital twin initiatives

## Description

Background : We are looking for an AI & Data Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design, deploy, and scale data and AI platforms across plants and enterprise systems. This role bridges operations, engineering, and IT, translating manufacturing priorities into secure, governed, and production grade AI solutions that deliver measurable business outcomes.
Travel: 25 50% (plants, client workshops, exec reviews)
What You Will Do
Lead plant to enterprise discovery workshops with Operations, Engineering, Quality, Supply Chain, and IT leaders
Develop Solutions to respond to RFQ from the manufacturing customers
Translate manufacturing challenges into AI use cases (predictive maintenance, quality, yield, throughput, inventory, service)
Architect OT + IT data platforms integrating historians, MES, ERP, and cloud platforms
Design and guide delivery of AI/ML and GenAI solutions (time series ML, computer vision, RAG based copilots)
Define MLOps / LLMOps frameworks for industrial environments
Create executive ready architectures, roadmaps, and value stories
Act as a trusted advisor during plant visits, architecture reviews, and steering committees
Core Architecture Focus
OT/IT Integration: PLC/SCADA/DCS, historians (PI/Aveva), MES, ERP (SAP), PLM, QMS
Data Platforms: Lakehouse, streaming/event-driven, time series architectures
AI / GenAI: Predictive analytics, anomaly detection, computer vision, maintenance & operations copilots
Security & Governance: Industrial cybersecurity awareness, data governance, responsible AI, human in the loop
Key Deliverables
Plant to enterprise AI & Data target architecture
Manufacturing AI roadmap (pilot scale across plants)
Digital thread architecture linking design, production, quality, and service
Industrial MLOps / LLMOps framework
Executive level value realization dashboards


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