Senior GenAI Engineer

About the role

This role is based at our client site 5 days a week in Pittsburgh, PA, Cleveland, OH, or Dallas, TX. Employer sponsorship of immigration-related visas and/or green card status as part of the PERM process is not available for this engagement.

CGI is seeking a highly skilled and innovative GenAI Engineer with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.

Responsibilities

• Maintain existing predictive models while architecting for the future, including integrating predictive models with generative AI.
• Build and deploy predictive models based on Random Forest, Linear Regression, and similar techniques for enterprise-scale problems such as fraud detection, anomaly detection, and churn prediction.
• Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
• Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments.
• Integrate large language models (LLMs) with enterprise datasets using Azure OpenAI.
• Apply MLOps practices for building scalable AI pipelines.
• Demonstrate strong programming skills in Python and familiarity with machine learning frameworks like PyTorch.
• Work with generative AI models such as GPT and agentic frameworks (e.g., AutoGen, LangGraph, MCP).
• Apply solid understanding of natural language processing (NLP) and AI ethics.
• Translate complex requirements into scalable and efficient architecture.
• Exhibit excellent communication and leadership qualities to work independently with minimal supervision.

Requirements

• Bachelor’s degree in computer science, computer engineering, or a relevant field.
• Minimum of 6+ years of experience as a Data Engineer or similar role, with 1–2 years specifically focused on GenAI or AI/ML projects.
• Strong knowledge of data architecture in the banking domain.
• 4+ years of work experience in Python and MongoDB.
• Strong hands-on experience with Microsoft Azure.
• Familiarity with CI/CD pipelines, Jenkins, model training, and model deployment.
• Knowledge of LLM models, LangChain, and Hugging Face.
• Excellent organizational, analytical, and problem-solving abilities.
• Strong written and verbal communication skills.

Pay

A reasonable estimate of the current compensation range for this role in the U.S. is $70,800.00 – $156,700.00.

Benefits

• Competitive compensation.
• Comprehensive insurance options.
• Matching contributions through the 401(k) plan and 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.