Define, design, and govern end-to-end AI and GenAI solutions. Bridge business needs, data engineering, ML engineering, and cloud platforms. Deliver production-grade AI systems across the enterprise.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role: AI Architect
Location: Canada (100% Remote)
Job Type: Contract
Required: The AI Architect is responsible for defining, designing, and governing end to end 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 production grade AI systems across the enterprise.
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Technical Skills
•Strong experience in AI architecture, machine learning, and deep learning concepts.
•Hands on knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikit learn).
•Experience with GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, open source models).
•Expertise in MLOps tools and practices (CI/CD, model registries, monitoring).
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•Experience with data platforms (Data Lakes, Snowflake, BigQuery, Databricks).
•Knowledge of API based AI integration, MCP, microservices, and event driven 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 infrastructure as code and DevSecOps practices. Experience
•12+ years of overall IT experience, with 5+ years in AI/ML solution or platform architecture roles.
•Proven experience delivering AI solutions into production at scale.
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