About the role
Role – AI Architect Location - Canada east coast (Toronto, Ottawa), Remote Project duration - 1 year 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. Required:
- 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).
- 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:
- 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.
Not the right fit? Search for AI Architect jobs in Toronto, Ontario, Canada
About InfiCare Staffing
Staffing solutions since 2001 to our clients across all 50 states. Our clients include small Niche companies to global conglomerate as well as Federal Govt. agencies. In 2015 we graduated from SBA 8(a) program after 10 years of successful partnership with the small business administration.
We provide staffing services to a wide range of clients including HealthCare, IT, Manufacturing, Engineering, Life Sciences, Consumer Goods, Infrastructure, Light Industrial, Automotive, Aviation, Transportation & Logistics, Pharma and Research.
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About the role
Role – AI Architect Location - Canada east coast (Toronto, Ottawa), Remote Project duration - 1 year 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. Required:
- 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).
- 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:
- 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.
Not the right fit? Search for AI Architect jobs in Toronto, Ontario, Canada
About InfiCare Staffing
Staffing solutions since 2001 to our clients across all 50 states. Our clients include small Niche companies to global conglomerate as well as Federal Govt. agencies. In 2015 we graduated from SBA 8(a) program after 10 years of successful partnership with the small business administration.
We provide staffing services to a wide range of clients including HealthCare, IT, Manufacturing, Engineering, Life Sciences, Consumer Goods, Infrastructure, Light Industrial, Automotive, Aviation, Transportation & Logistics, Pharma and Research.