AI​/ML Engineer

AI/ML Engineer

Category: Software Development/Engineering

Main location: United States, Tennessee, Knoxville

Alternate Locations: United States, Louisiana, Lafayette;
United States, Texas, Belton;
United States, Virginia, Lebanon;
United States, Virginia, Fairfax

Position : J

Employment Type: Full Time

Position

Description:

CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to end—from proofs of concept to production—partnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes.

If you are a creative problem solver who thrives in fast moving, highly collaborative environments, come help us push the boundaries of AI and emerging technologies.

This position is located in our Knoxville, TN, Lafayette LA, Belton TX, Lebanon VA, Fairfax VA office; however, a hybrid working model is acceptable.

• AI/ML Solutioning & Delivery
  • Design, build, and deploy AI/ML solutions and generative AI applications; architect complex AI pipelines.
  • Harness large datasets; conduct data mining/analysis; design algorithms and simulations; optimize models for real world performance and cost.
• Full Stack Engineering
  • Implement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI capabilities.
  • Develop robust APIs and microservices; ensure seamless functionality and exceptional UX across platforms.
• Cloud & Dev Sec Ops
  • Deliver against strategic roadmaps for AI and Analytics architectures across Azure, AWS, GCP.
  • Package and deploy via containerization (Docker, Kubernetes); automate CI/CD (Jenkins, Git Lab) and IaC (Terraform, AWS Cloud Formation).
  • Establish best practices and patterns for AI & analytics; implement monitoring, observability, and model governance.
• Graph Database Development
  • Design, implement, and optimize Graph
    
    DB solutions (e.g., Neo4j, Amazon Neptune) for AI-driven applications.
  • Integrate graph-based data models into AI pipelines for knowledge graphs, entity relationships, and semantic search.
• Collaboration & Client Engagement
  • Work closely with data scientists and software engineers to integrate AI into enterprise systems.
  • Coordinate with client and engineering teams to build, monitor, and maintain solutions.
  • Support client development opportunities and contribute to thought leadership and demos/POCs.

• US Citizenship is required per contract
• Ability to obtain a Secret clearance
• Education
  • Bachelor's and 8 years experience required in Computer Science, Software Engineering, Artificial Intelligence & Machine Learning, related field.
• Experience
  • 5+ years designing, developing, and deploying AI/ML or advanced software solutions.
  • Proven experience designing and integrating AI/GenAI into products and enterprise applications.
  • Demonstrated success delivering full stack solutions that embed AI capabilities.
  • Hands‑on experience with Graph
    
    DB engineering and development (Neo4j, Amazon Neptune, or similar).
• Technical Skills
  • Programming:
    Python (expert) plus Java
  • ML/Deep Learning:
    Tensor Flow, PyTorch; model training, tuning, serving, and monitoring.
  • Generative AI: hands‑on with LLMs; prompt engineering; fine tuning; RAG patterns; vector databases.
  • Web & APIs: HTML/CSS/JS;
    React or Angular;
    Node.js/Python/Java back ends; REST/Graph
    
    QL.
  • Dev Ops/MLOps:
    Docker, Kubernetes, Terraform, AWS Cloud Formation; CI/CD with Jenkins/Git Lab/Bitbucket; testing frameworks; package managers.
  • Cloud:
    Production experience on Azure, AWS, and GCP.
  • Data: SQL and No
    
    SQL databases;
    Graph
    
    DB; data pipelines; feature stores.
• Professional
  • Excellent problem solving, verbal and written communication.
  • Ability to work independently and within agile teams.
  • Strong collaboration skills across cross functional stakeholders.