Closed listing
AI Platform Engineer (35577)
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
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.
- 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.
- Python
- Terraform
- Docker
- Kubernetes
- MLOps / LLMOps
- AI Gateways
- LangGraph
- CrewAI
- Agentic AI
- Generative AI
- Cloud AI Platforms
- CI/CD
- API Development
More about this job
Responsibilities
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 5-8+ years of platform engineering or DevOps experience supporting AI workloads with strong Python and Terraform skills. Candidates must have hands-on experience with Docker, Kubernetes, and AI agent frameworks like LangGraph or CrewAI.
Skills
- Python
- Terraform
- Docker
- Kubernetes
- MLOps
- LLMOps
- LangGraph
- CrewAI
- API Development
- CI/CD
- Infrastructure-as-Code
- AI Gateways
- Generative AI
- Agentic AI
- Cloud AI Platforms
- AI Monitoring
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Finance & Accounting
- Consulting
Keywords
- Python
- Terraform
- Docker
- Kubernetes
- MLOps
- LLMOps
- AI Gateways
- LangGraph
- CrewAI
- Agentic AI
- Generative AI
- Cloud AI Platforms
- CI/CD
- API Development
- Infrastructure-as-Code
- AI Governance
- Observability
- Responsible AI
- Platform Engineering
- DevOps