AI Solution Architect R1012703
Job Location:
Georgetown, DE - USA
Monthly Salary:
Not Disclosed
Posted on:
11 days ago
Vacancies:
1 Vacancy
Job Summary
AI Solution Architect
Georgetown KY
9 Months
Note: Hybrid with 25% Travel. 1-2 times a month onsite for 3-4 days; location Georgetown KY or other client office locations in the US
Skills Required:
- AI Architect
- Machine Learning (ML)
- Manufacturing
- MFG AI Solution Architect
- Solution Architecture
- 10 years exp in data Architecture
Qualifying Questions:
- Do you have strong experience in Python for AI / ML development
- Do you have experience building and deploying ML models in production environments
Description:
- 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
- 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