Enterprise AI Data Architect & MLOps Leader
Core
Designing and scaling enterprise AI platforms, data lakes, and MLOps capabilities in the cloud to connect large-scale data engineering with production-grade machine learning and Generative AI.
Role type
Senior IC Enterprise AI Data Architect & MLOps Leader
Builds
Scalable enterprise AI solutions, data architectures, and MLOps pipelines from experimentation through production.
Domain
Enterprise Cloud AI & Data Engineering
Deliverable
production ML models | infrastructure
Required skills
End-to-end MLOps platform design, Generative AI application development, Enterprise cloud data platform architecture, Complex ETL/ELT pipeline construction, Large-scale distributed data processing, Real-time streaming and event-driven architecture design, Cloud data warehousing and analytics, Serverless and data-lake analytics, Relational and NoSQL database management, Enterprise data governance and catalog implementation, Business intelligence and data visualization
Preferred skills
None stated
Technologies
SageMaker, Azure Machine Learning, Google Vertex AI, Databricks Machine Learning, Mosaic AI, Bedrock, Microsoft Foundry, OpenAI, Anthropic, AWS, Azure, GCP, Snowflake, Apache Spark, Hadoop, Apache Kafka, Confluent, Event Hubs, Pub/Sub, BigQuery, Microsoft Fabric, Azure Synapse, PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Cassandra, Cosmos DB, DynamoDB, Microsoft Purview, Unity Catalog, Collibra, Alation, Dataplex, Power BI, Tableau, Looker, Qlik, QuickSight
