Senior AI/DevOps Engineer

Senior AI/DevOps EngineerCGI is seeking a Senior AI/DevOps Engineer to join a fast-paced technology team supporting a Corporate Risk and Compliance organization within a large financial services environment. This role is ideal for a hands-on engineer who thrives on building end to end AI powered solutions from requirements through production deployment while also owning the cloud infrastructure and CI/CD processes that support them. You'll work in a primarily Python codebase, building GenAI powered assistants, intelligent automation, and data driven applications on AWS. This isn't a role for someone who wants to build foundational LLMs from scratch — it's for an engineer who knows how to apply existing AI technologies (Lang Chain, Lang Graph, RAG, vector databases, AI agents) to solve real business problems in a regulated, high-stakes environment. Beyond the technical work, you'll be expected to operate independently, take ownership of initiatives, and collaborate closely with a small, established, self-sufficient team. Strong communication and accountability matter just as much as technical depth here. This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, Birmingham, AL Required qualifications to be successful in this role. 5+ years independent Python development — you can write, debug, review, and optimize code without hand holding. Solid SQL skills and comfort working with financial data, KPIs, and reporting requirements. Deep AWS experience in a cloud native environment (this is an AWS first shop). Practical experience building and deploying AI/GenAI applications — think Lang Chain, Lang Graph, RAG pipelines, vector databases, embedding models, and multi agent workflows. Working knowledge of how LLM based systems function, and how to apply them effectively (not a requirement to build LLMs from scratch). Hands on DevOps experience: CI/CD pipelines (Jenkins, GitHub Actions, or GitLab CI), containerization (Docker, ECS/EKS), and Infrastructure as Code (Terraform or CloudFormation). Experience with large scale data processing and transformation, ideally including Redshift. Familiarity with monitoring/observability tools like CloudWatch or Splunk. Comfortable working with REST/SOAP/Fast API integrations for system-to-system communication. A track record of owning problems end to end and communicating well with both technical and business stakeholders Desired Skillset: front end experience (React or Angular)