Senior Data & AI Platform Architect
May be filledPosition Summary We're seeking a Senior Data & AI Platform Architect to lead the design and implementation of TraceGains' next-generation data and MLOps platform on Azure. Key Responsibilities Data Platform &…
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Position Summary We're seeking a Senior Data & AI Platform Architect to lead the design and implementation of TraceGains' next-generation data and MLOps platform on Azure. Key Responsibilities Data Platform & Infrastructure Architect scalable, multi-tenant data platform using Azure Data Factory, Databricks, and Azure Synapse Analytics Design hybrid data architectures supporting operational systems, AI workloads, and knowledge graphs Build vector databases and graph database infrastructure for RAG applications and semantic search AI & MLOps Platform Architecture Design and implement comprehensive MLOps platform on Azure supporting the full ML lifecycle from experimentation to production Build automated ML pipelines using Azure ML, MLfl ow, and Azure DevOps for continuous integration and deployment Implement real-time inference infrastructure with monitoring, alerting, and automated drift detection Build a technical team of data engineers Knowledge Graph Operations & Management End-to-end lifecycle management including hydration from existing taxonomies/ontologies, leveraging TopBraid EDG experience High-performance graph query services and APIs for real-time access to supply chain relationships Automated validation, confl ict resolution, and data quality monitoring to ensure graph consistency and accuracy Platform Engineering & DevOps Implement Infrastructure as Code using Terraform and build CI/CD pipelines for data products and ML models Design containerized microservices architecture using Docker and Azure Kubernetes Service Create self-service capabilities with comprehensive monitoring and observability Success Metrics (Year 1) Reduce model deployment time from weeks to days Build scalable infrastructure supporting 10x growth in AI workloads E...