AWS AI/Data Engineer (Fulltime)
Mastech · Lafayette, Louisiana, United States
FULL TIMEpermanent
Job Description
Job Title: AWS AI/Data EngineerLocation: Lafayette, LA, Knoxville, TN, Columbia, SC, Birmingham, AL - Onsite Fulltime
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
Skills:Amazon Web Services CloudData EngineeringData EngineeringGenerative AIPython
Your 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, xzbcwsv data, and application teams to support POCs and drive AI/cloud adoption
Desired Skillset:Knowledge of IAM roles/policies, least privilege access, encryption, and secrets managementPython scripting skills for automation, REST APIs, and serverless functions
Educational Requirement:Bachelor's degree in Computer Science, Information Systems, or a related field.
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
Skills:Amazon Web Services CloudData EngineeringData EngineeringGenerative AIPython
Your 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, xzbcwsv data, and application teams to support POCs and drive AI/cloud adoption
Desired Skillset:Knowledge of IAM roles/policies, least privilege access, encryption, and secrets managementPython scripting skills for automation, REST APIs, and serverless functions
Educational Requirement:Bachelor's degree in Computer Science, Information Systems, or a related field.
Details
| Company | Mastech |
| Location | Lafayette, Louisiana, United States |
| Type | FULL TIME |
| Niche | general |
| Experience | permanent |