MFG Data & AI Solution Architect - KY/Georgetown - Hybrid + with 25% Travel. 1-2 times a month onsite for 3-4 days; location Georgetown, KY or other client locations in the US

MFG Data & AI Solution Architect - KY/Georgetown - Hybrid + with 25% Travel. 1-2 times a month onsite for 3-4 days; location Georgetown, KY or other client locations in the

US Requisition Name :

MFG AI Solution Architect Start Date :

6/15/2026

Duration :

10 + months

Services Location :

KY/Georgetown Description Of Services :

We are seeking a Data & AI Architect to design, build, and enable scalable AI and machine learning solutions within a data-driven platform supporting manufacturing and operational analytics use cases. This role focuses on building the data and AI foundation for the Manufacturing Data Hub, Analytics Workbench, and factory AI Proof of Concept initiatives. The ideal candidate will bring strong hands-on experience in data platforms, machine learning, cloud?based AI services, and production-ready AI systems supporting enterprise operations. This is a highly technical role (for more senior candidates) that bridges the gap between application teams and foundational architecture, driving platform strategy and enterprise AI enablement.

Required Skills:

Strong experience in Python for AI / ML development Experience building and deploying ML models in production environments Experience with LLMs, RAG architectures, and prompt design Strong understanding of data pipelines, feature engineering, and model lifecycle management Experience with MLOps tools and practices (model deployment, monitoring, CI/CD for ML) Hands-on experience with AWS services, especially Bedrock Experience with vector databases such as OpenSearch or Pinecone Strong understanding of enterprise data platforms and cloud-based data architecture Proven ability to translate complex technical concepts and bridge the gap between diverse application teams

Preferred Skills:

Familiarity with streaming or real-time data systems Experience integrating AI solutions into enterprise applications Exposure to data platforms, analytics environments, and cloud-native architecture

PROTECTED

Experience working across both Data Engineering and AI platform teams Nice to

Have:

Experience in manufacturing, automotive, industrial, or enterprise environments Exposure to time-series data, operational analytics, or Industrial IoT environments Experience supporting factory operations, production systems, or operational technology

Platforms Deliverables :

Key Responsibilities:

Design, develop, and deploy machine learning models for manufacturing and operational use cases Build solutions such as predictive maintenance, anomaly detection, quality analytics, and operational optimization Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, training, and inference Design scalable data architecture supporting AI model development and enterprise analytics Develop RAG-based applications using AWS Bedrock and vector databases (OpenSearch / Pinecone) Support the design and enablement of the Manufacturing Data Hub and Analytics Workbench Integrate AI models into production systems and enterprise applications Collaborate with Data Engineers and Software teams to ensure scalable and reliable deployments Contribute to architecture design, tool selection, platform best practices, and AI enablement strategy Support best practices in model versioning, testing, deployment, and MLOps Ability to travel up to 10% domestically or internationally, within North America, during peak times