Data & AI Solution Architect

Role: Data & AI Solution ArchitectLocation: Dallas, TX (onsite, Hybrid)Term: Contract 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.Key ResponsibilitiesDesign, develop, and deploy machine learning models for manufacturing and operational use casesBuild solutions such as predictive maintenance, anomaly detection, quality analytics, and operational optimizationBuild and maintain end-to-end ML pipelines including data ingestion, feature engineering, training, and inferenceDesign scalable data architecture supporting AI model development and enterprise analyticsDevelop RAG-based applications using AWS Bedrock and vector databases (OpenSearch / Pinecone)Support the design and enablement of the Manufacturing Data Hub and Analytics WorkbenchIntegrate AI models into production systems and enterprise applicationsCollaborate with Data Engineers and Software teams to ensure scalable and reliable deploymentsContribute to architecture design, tool selection, platform best practices, and AI enablement strategySupport best practices in model versioning, testing, deployment, and MLOpsAbility to travel up to 10% domestically or internationally, within North America, during...Contribute to architecture design, tool selection, platform best practices, and AI enablement strategySupport best practices in model versioning, testing, deployment, and MLOpsAbility to travel up to 10% domestically or internationally, within North America, during peak timesRequired SkillsStrong experience in Python for AI / ML developmentExperience building and deploying ML models in production environmentsExperience with LLMs, RAG architectures, and prompt designStrong understanding of data pipelines, feature engineering, and model lifecycle managementExperience with MLOps tools and practices (model deployment, monitoring, CI/CD for ML)Hands-on experience with AWS services, especially BedrockExperience with vector databases such as OpenSearch or PineconeStrong understanding of enterprise data platforms and cloud-based data architectureProven ability to translate complex technical concepts and bridge the gap between diverse application teamsPreferred SkillsFamiliarity with streaming or real-time data systemsExperience integrating AI solutions into enterprise applicationsExposure to data platforms, analytics environments, and cloud-native architectureExperience working across both Data Engineering and AI platform teamsNice to HaveExperience in manufacturing, automotive, industrial, or enterprise environmentsExposure to time-series data, operational analytics, or Industrial IoT environmentsExperience supporting factory operations, production systems, or operational technology platforms