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Digital Transformation IT Services company
  • Public Stage
    Publicly traded company

AWS AI/Data Engineer (Fulltime)

  • Lafayette
  • |No experience required
  • |Full Time
Posted: 6 days ago• Recruiter recently active
Job Location
Lafayette
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Amazon RDS
Amazon DynamoDB
Amazon Redshift
Data Transformation
Data Ingestion
CloudWatch
Amazon SageMaker
AWS Athena
Data Orchestration
AWS Glue
Vector Databases
Retrieval Augmented Generation (RAG)
Amazon Bedrock
Embeddings
Amazon Q

About the job

Job Title: AWS AI/Data Engineer

Location: Lafayette, LA, Knoxville, TN, Columbia, SC, Birmingham, AL - Onsite

Fulltime

Skills:

  • Amazon Web Services Cloud
  • Data Engineering
  • Data Engineering
  • Generative AI
  • Python

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 platforms
  • Comfortable working with embeddings, RAG patterns, and vector databases
  • Solid background with AWS data services (Glue, Athena, DynamoDB, RDS, Redshift)
  • Experience building data ingestion, transformation, and orchestration workflows
  • Know your way around CloudWatch for logging, alerting, troubleshooting, and tuning performance
  • Comfortable collaborating with security, 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 management
  • Python scripting skills for automation, REST APIs, and serverless functions

Educational Requirement:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.