AI Platform Engineer (35577)

Job summary

Design, build, and operate enterprise AI platform infrastructure to support Generative and Agentic AI solutions at scale. This includes developing AI agents, implementing CI/CD pipelines, and managing AI governance and observability.

Job details

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 ,

What you’ll do

Design, build, and operate enterprise AI platform infrastructure to support Generative and Agentic AI solutions at scale. This includes developing AI agents, implementing CI/CD pipelines, and managing AI governance and observability.

Requirements

Requires a degree in Computer Science or Engineering and 5-8+ years of platform engineering or DevOps experience supporting AI workloads. Proficiency in Python, Terraform, Kubernetes, and AI agent frameworks like LangGraph or CrewAI is essential.

Listed skills

• Kubernetes · Preferred
• CI/CD · Preferred
• Docker · Preferred
• Terraform · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Terraform
• Docker
• Kubernetes
• MLOps
• LLMOps
• LangGraph
• CrewAI
• API Integration
• CI/CD
• Infrastructure-as-Code
• AI Gateways
• Generative AI
• Agentic AI
• Cloud AI Platforms
• AI Monitoring

Job areas

• Technology
• Software
• Engineering
• Data & Analytics
• Consulting