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Job Description
Job Description A Fortune 100 automotive client is seeking a remote 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.
Other responsibilities include:
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 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.
We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.
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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements
5+ years in Python for AI/Machine Learning Development
Experience with LLM's, RAG Architectures, and Prompt Design
Experience working with MLOps tools (model deployment, monitoring, CI/CD for Machine Learning)
Experience working with data pipelines (IoT, SCADA, MES preferred)
Automotive, manufacturing, or industrial industry background
Experience with large enterprise integrations for AI solutions