AI Engineer
@ CGI

Hybrid
$115,600
Hybrid
Full Time
Posted 14 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @cgi.com
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Job Details

Position Description

Make an impact like never before. CGI is growing rapidly and is looking for AI Engineers to join our Emerging Technologies Practice. This role offers access to global resources and the opportunity to work across various industries, technologies, and geographies while enjoying a close-knit team and a local operating approach.

This position can be located remotely anywhere in the U.S. Applications are accepted through October 15, 2025.

How You'll Make An Impact & What You'll Bring

As an AI Engineer at CGI you will:

  • Develop and optimize AI applications for production.
  • Build scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes.
  • Implement and maintain AI pipelines with MLOps best practices using Azure ML, Databricks, AWS SageMaker, and Vertex AI.
  • Ensure high availability, reliability, and performance with rigorous testing and monitoring.
  • Work with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents.
  • Collaborate with architects and scientists to transition research models to high-performance production systems.

CGI Benefits

CGI offers a competitive compensation package, comprehensive medical benefits, retirement plans, paid leave, and various other perks from day one of employment. Detailed information about the benefits can be found on the CGI Careers website.

Additional Information

CGI values diversity and inclusion and provides reasonable accommodations for applicants with disabilities. Employment offers are contingent on a background investigation and possible credit checks as required by law.

Key skills/competency

  • AI Applications
  • MLOps
  • Microservices
  • API Development
  • FastAPI
  • Flask
  • Docker
  • Kubernetes
  • Azure ML
  • Data Integration
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How to Get Hired at CGI

🎯 Tips for Getting Hired

  • Research CGI's culture: Study their mission and recent news.
  • Customize your resume: Highlight AI and microservices skills.
  • Leverage cloud experience: Emphasize Azure, AWS, and Databricks.
  • Prepare project examples: Show tangible AI application success.

📝 Interview Preparation Advice

Technical Preparation

Review FastAPI and Flask documentation.
Practice Docker and Kubernetes deployment.
Study AI pipeline architecture.
Experiment with Azure ML and AWS SageMaker.

Behavioral Questions

Describe a challenging project experience.
Explain teamwork in rapid growth environments.
Discuss problem-solving under pressure.
Share examples of innovative idea contributions.

Frequently Asked Questions