AWS AI/Data Engineer *

CGI

• $123K — $156K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Practical experience with AI/GenAI tools on AWS such as Bedrock and SageMaker.
  • Familiarity with embeddings, RAG patterns, and vector databases.
  • Strong knowledge of AWS data services including Glue, Athena, and DynamoDB.
  • Proficiency in building data ingestion and transformation workflows.
  • Experience with AWS CloudWatch for monitoring and troubleshooting.
  • Ability to collaborate effectively with security, data, and application teams.

Responsibilities

  • Build and support GenAI solutions using AWS tools like Amazon Bedrock and SageMaker.
  • Develop retrieval augmented generation (RAG) patterns and manage vector databases.
  • Create data pipelines that serve real business use cases.
  • Collaborate with various teams to enable AI and cloud adoption.
  • Optimize performance through effective logging and alerting practices.
  • Support proof of concepts (POCs) to drive innovation in the financial services sector.

Benefits

  • Competitive compensation.
  • Comprehensive insurance options.
  • 401(k) plan with matching contributions.
  • Paid time off including vacation and sick leave.
  • Paid parental leave.
  • Learning opportunities and tuition assistance.
  • Wellness programs available from day one.
Full Job Description
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AWS AI/Data Engineer *

Category: Software Development/ Engineering

Main location: United States, Louisiana, Lafayette

Position ID:J0926-1446

Employment Type: Full Time

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, AL

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.

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $123,200.00 $156,700.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs

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

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