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
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