AI Architect (T & I) (Telework/Hybrid)
Montreal - MRC (Papineau) (36.25), Canada
R
CAD 110K-130K (estimate) Senior-level Full Time
Tasks
- Architect AI integration in media production environments
- Build MLOps and LLMOps pipelines with observability and automated testing
- Design training and inference systems for LLMs and multimodal models
- Develop video understanding systems with file based and live IP workflows
- Document and present AI architecture to decision makers
- Ensure data security for AI systems
- Evaluate and standardize integration protocols MCP and A2A
- Optimize end to end training data pipelines and distributed training
- Optimize inference serving engines for low latency
- Profile performance and improve scalability latency and reliability
- Provide technical leadership and mentor engineers and data scientists
- Right size and evolve internal GPU cluster infrastructure
Perks/Benefits
Skills/Tech-stack
A2A | AI Agent | AI agent architectures | AWS | Accelerate | Agent architectures | Azure | Batching | Bucketing | CI/CD | Cloud Computing | Cloud platform | Data Pipelines | DeepSpeed | Distributed Training | Docker | GPU clusters | Google Cloud | Google Cloud Platform | KV caching | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Litellm | Long Context | MLOps | MLflow | Mixed Precision | Mixed-precision training | Model Context Protocol | ModelOps | Multimodal Models | Observability | Open WebUI | PyTorch | Python | Quantization | RAG | Sharding | Streaming Data | VLLM | Weights and Biases
Education
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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