Senior Python & GenAI Engineer

CGI•Reston, VA

1d•Hybrid

About The Position

CGI has an immediate need for a Senior Python & GenAI Engineer - 4888 to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in Reston, VA. A hybrid working model is acceptable. We are seeking an experienced Senior Python & GenAI Engineer to design, build, and support scalable AI-driven applications in a cloud-native environment. This role combines advanced Python development, generative AI model implementation, and AWS cloud engineering. You will play a key role in developing and deploying AI-powered solutions, integrating large language models (LLMs), and supporting production systems in a fast-paced Agile environment. The ideal candidate brings deep technical expertise, strong troubleshooting skills, and the ability to collaborate across engineering, data science, and business teams. This position also includes L3 production support responsibilities, ensuring the reliability, scalability, and performance of AI and cloud-based systems.

Requirements

7+ years of overall software development experience
5+ years of experience working with AWS and AI/ML technologies
Strong hands-on experience with Python and modern frameworks such as Flask, FastAPI, or Django
Proven experience building and deploying generative AI or machine learning solutions
Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face
Experience working with LLMs (e.g., OpenAI models, custom transformers, Stable Diffusion, etc.)
Solid understanding of REST APIs and system integrations
Experience deploying and managing solutions in AWS (Lambda, S3, EC2, IAM, CloudFormation, SageMaker, EMR, Redshift)
Working knowledge of Docker, Kubernetes, and CI/CD pipelines
Experience troubleshooting complex production issues and performing root cause analysis
Ability to optimize performance, scalability, and cost within AWS environments
Comfortable working in Agile environments (stand-ups, sprint planning, retrospectives)
Strong communication skills with both technical and non-technical stakeholders
Ability to manage multiple priorities in a fast-moving environment
Detail-oriented with a focus on writing clean, maintainable, well-documented code

Nice To Haves

AWS certifications (i.e., AWS Certified Solutions Architect or Developer)
AI/ML or cloud-related certifications (i.e., AWS Certified Machine Learning)

Responsibilities

Design, build, and support scalable AI-driven applications in a cloud-native environment.
Developing and deploying AI-powered solutions, integrating large language models (LLMs), and supporting production systems in a fast-paced Agile environment.
L3 production support responsibilities, ensuring the reliability, scalability, and performance of AI and cloud-based systems.