AI Platform Engineer (35577)

Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI platform infrastructure that enables enterprise AI, Generative AI, and Agentic AI solutions at scale. Responsibilities • Design and manage enterprise AI platform infrastructure and AI gateways. • Build and operationalize AI, GenAI, and Agentic AI solutions. • Develop and deploy AI agents and agentic workflows. • Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices. • Support AI governance, observability, monitoring, and responsible AI controls. • Mentor team members and contribute to AI delivery standards and best practices. Required Qualifications • Degree in Computer Science, Engineering, or a related field. • 5-8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads. • Strong Python development skills. • Experience with Infrastructure-as-Code (Terraform). • Hands-on experience with Docker and Kubernetes. • Experience with major cloud AI ecosystems and open-source AI platforms. • Knowledge of AI monitoring and observability tools. • Experience building and deploying AI agents using frameworks such as LangGraph, CrewAI, or cloud-based agentic AI platforms. • Strong API integration and development experience. • Consulting or professional services experience preferred. Technical Environment • Python • Terraform • Docker • Kubernetes • MLOps / LLMOps • AI Gateways • LangGraph • CrewAI • Agentic AI • Generative AI • Cloud AI Platforms • CI/CD • API Development #J-18808-Ljbffr