Role AI Architect
Project duration - 1 year
Location - Canada east coast (Toronto, Ottawa)
Work mode - Remote
The AI Architect is responsible for defining, designing, and governing endtoend AI and GenAI solutions that are scalable, secure, and aligned with business strategy. This role bridges business needs, data engineering, ML engineering, and cloud platforms to deliver productiongrade AI systems across the enterprise.
Technical Skills
Strong experience in AI architecture, machine learning, and deep learning concepts.
Handson knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikitlearn).
Experience with GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, opensource models).
Expertise in MLOps tools and practices (CI/CD, model registries, monitoring).
Experience with data platforms (Data Lakes, Snowflake, BigQuery, Databricks).
Knowledge of APIbased AI integration, MCP, microservices, and eventdriven architectures.
Cloud & DevOps
Strong experience with at least one major cloud platform: Azure, AWS, or GCP.
Familiarity with containerization and orchestration (Docker, Kubernetes).
Understanding of infrastructureascode and DevSecOps practices.
Experience
8 12+ years of overall IT experience, with 3 5+ years in AI/ML solution or platform architecture roles.
Proven experience delivering AI solutions into production at scale.
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