Sr. GenAI Engineer

CGI

$89K — $176K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or a related field.
  • 6+ years of experience in Data Engineering or related roles, with 1-2 years focusing on GenAI or AI/ML projects.
  • Strong understanding of data architecture in the banking sector.
  • 4+ years of Python experience, particularly with MongoDB.
  • Hands-on experience with Microsoft Azure and integrating LLMs with enterprise datasets.

Responsibilities

  • Maintain existing predictive models while designing future architecture.
  • Build and deploy predictive models for fraud detection and anomaly detection.
  • Develop scalable data pipelines for preprocessing, training, and deployment.
  • Utilize Python and other languages for programming tasks.
  • Implement generative AI models, specifically GPT.
  • Design and implement scalable ML pipelines with CI/CD automation.
  • Translate requirements into efficient architecture and workflows.

Benefits

  • Competitive compensation.
  • Comprehensive insurance options.
  • 401(k) matching contributions and a share purchase plan.
  • Paid time off for vacation, holidays, and sick leave.
  • Paid parental leave.
  • Learning opportunities and tuition assistance.
  • Wellness and well-being programs.
Full Job Description
Sr. GenAI Engineer

Category: Analytics and Emerging Digital Technologies

Main location: United States, Pennsylvania, Pittsburgh

Position ID:J0726-1865

Employment Type: Full Time

Position Description:

CGI is looking to hire a highly skilled Gen AI Engineer with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.
This role will require someone at our client site 5 days a week in Pittsburgh, PA, Cleveland, OH, or Dallas, TX.
For this role on this particular client engagement, employer sponsorship of immigration is not available.
Duties and Responsibilities:
. Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
. Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
. Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
. Strong programming skills in Python and in similar languages.
. Familiarity with machine learning frameworks like PyTorch.
. Hands on experience with generative AI models such as GPT.
. Understanding of MLOps practices for building scalable AI pipelines.
. Solid understanding of natural language processing (NLP) and AI ethics.
. Translate complex requirements into scalable and efficient architecture
. Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
. Excellent Communication and Leadership qualities to work independently with minimal supervision.

Requirements:
Bachelor's degree in computer science, computer engineering, or relevant field.
. A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
. Strong knowledge data architecture in banking domain.
. 4+ Years Work Experience in Python, Mongo
. Strong hands on experience with Microsoft Azure
. Integrate LLMs with enterprise datasets using Azure Open AI.
. Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
. ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
. GenAI: Knowledge in LLM Models, Langchain , Hugingface
. Excellent organizational and analytical abilities.
. Outstanding problem solver.
. Good written and verbal communication skills

#LI-SG2
#DICE
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 $70,800.00 $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
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 $89,600.00 $176,300.00.
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:
  • AutoGen
  • Azure
  • Communication
  • Generative AI
  • GraphQL
  • Jenkins
  • LangGraph
  • Large Language Model (LLM)
  • Machine Learning
  • Model Context Protocol Client
  • Model Context Protocol Servers
  • Model Prototyping
  • Python
  • MongoDB


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