AWS AI/Data Engineer

System One Holdings, LLC

• $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience with AI/GenAI tools in AWS.
  • Proficiency with embeddings and vector databases.
  • Strong knowledge of AWS data services like Glue and DynamoDB.
  • Experience with data ingestion and orchestration workflows.
  • Familiarity with CloudWatch for performance monitoring and troubleshooting.

Responsibilities

  • Build and support GenAI solutions using Amazon Bedrock and SageMaker.
  • Develop pipelines that utilize retrieval augmented generation patterns.
  • Collaborate closely with data and application teams on AI initiatives.
  • Optimize workflows for data ingestion and transformation.
  • Monitor and tune performance using CloudWatch.

Benefits

  • Hybrid work model with flexibility for remote work.
  • Opportunity to work in a fast-paced financial services environment.
  • Engagement with cutting-edge AI and data technologies.
  • Professional development and training opportunities.
  • Dynamic team culture that values collaboration and innovation.
Full Job Description
Job Title: AWS AI/Data Engineer
Duration: Full Time / Permanent Position
Location:
Lafayette, LA, Knoxville, TN, Birmingham, AL
Work Mode: Hybrid (3 Days Onsite - 2 Days Remote)

Position Description
Systemone 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.

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.

Ref: #404-IT Pittsburgh

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