Artificial Intelligence Data Architect

Overview of the Role

The ideal candidate will have a strong background in AI / ML, data pipelines, and cloud infrastructure. Key responsibilities include developing and optimizing data pipelines, configuring AWS infrastructure, and designing Snowflake environments.

We are seeking an experienced professional with expertise in CloudFormation, DynamoDB, Lambda, Security / encryption, VPC, S3, API management, ECS, and ECR. Experience with AI / ML integration and knowledge of SageMaker is also necessary.

A strong understanding of data architecture and cloud infrastructure for AI workloads is crucial. Effective communication and collaboration skills are essential for success in this role.