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This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, Birmingham, ALYour future duties and responsibilities:
In this role, you will build and support GenAI solutions using tools like Amazon Bedrock, SageMaker, and Amazon Q, working alongside data and application teams to bring intelligent, cloud native solutions to life. You'll be hands on with retrieval augmented generation (RAG) patterns, vector databases, and AWS data services to build pipelines that power real business use cases. Required qualifications to be successful in this role:
Practical experience with AI/GenAI tools on AWS — think Bedrock, SageMaker, Amazon Q, or similar platformsComfortable working with embeddings, RAG patterns, and vector databasesSolid background with AWS data services (Glue, Athena, DynamoDB, RDS, Redshift)Experience building data ingestion, transformation, and orchestration workflowsKnow your way around CloudWatch for logging, alerting, troubleshooting, and tuning performanceComfortable collaborating with security, data, and application teams to support POCs and drive AI/cloud adoption
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AWS AI/Data Engineer * @ CGI
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Job Description
Position Description:
CGI is seeking an AWS AI/Data Engineer to support the development of AI driven and analytical capabilities for enterprise data services. This is a great opportunity for someone who enjoys working across the AI/data stack — from ingestion and transformation to monitoring and optimization — in a fast moving, enterprise scale AWS environment within the financial services sector.This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, Birmingham, ALYour future duties and responsibilities:
In this role, you will build and support GenAI solutions using tools like Amazon Bedrock, SageMaker, and Amazon Q, working alongside data and application teams to bring intelligent, cloud native solutions to life. You'll be hands on with retrieval augmented generation (RAG) patterns, vector databases, and AWS data services to build pipelines that power real business use cases. Required qualifications to be successful in this role:
Practical experience with AI/GenAI tools on AWS — think Bedrock, SageMaker, Amazon Q, or similar platformsComfortable working with embeddings, RAG patterns, and vector databasesSolid background with AWS data services (Glue, Athena, DynamoDB, RDS, Redshift)Experience building data ingestion, transformation, and orchestration workflowsKnow your way around CloudWatch for logging, alerting, troubleshooting, and tuning performanceComfortable collaborating with security, data, and application teams to support POCs and drive AI/cloud adoption