AI Architect- Hybrid
- Toronto, ON, Canada
Salary: $120K · Temporary
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Job details
- Pay
- Salary: $120K
- Job type
- Temporary
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- Posting language
- English
- Posted
Original job description
Location: Toronto, ON – Hybrid
Salary: $120K
Key Responsibilities
- Design and architect enterprise-grade Generative AI and Agentic AI solutions using Azure AI Foundry and Databricks.
- Develop hands-on prototypes, Proof of Concepts (PoCs), and reference implementations to validate business use cases.
- Create and implement scalable Agentic AI architectures, including multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflow execution.
- Define reusable Agentic AI frameworks, accelerators, and patterns that can be leveraged across multiple business domains.
- Lead AI solution deployment strategies, ensuring scalability, reliability, security, and maintainability.
- Establish AI governance frameworks, model lifecycle management, auditing, and compliance controls.
- Drive Responsible AI enablement by incorporating fairness, transparency, privacy, security, and ethical AI principles into solution designs.
- Collaborate with business stakeholders, data scientists, engineers, and product teams to translate business requirements into AI solutions.
- Define AI architecture standards, best practices, and technical guidelines for enterprise adoption.
- Implement observability, monitoring, performance optimization, and risk management for GenAI applications.
- Guide engineering teams on AI development best practices, architecture reviews, and technical governance.
More about this job
Responsibilities
The AI Architect at Staffmax will design and build enterprise generative and agentic AI solutions, prototype them with business teams, and set the standards and governance that engineering teams follow.
Requirements
Candidates need hands-on experience designing scalable AI architectures, including multi-agent orchestration and tool integration, plus knowledge of AI governance, model lifecycle management and Responsible AI principles.
Skills
- Azure AI Foundry
- Databricks
- Generative AI
- Agentic AI
- Multi-agent orchestration
- Tool integration
- Planning and reasoning frameworks
- AI solution architecture
- Prototyping and proof of concept development
- AI governance
- Model lifecycle management
- Auditing and compliance controls
- Responsible AI
- AI observability and monitoring
- Performance optimization
- Risk management
- Deployment strategy
- Architecture review
- Technical governance
- Stakeholder collaboration
- Requirements translation
Categories
- Technology
- Software
- Data & Analytics
Keywords
- AI Architect
- Generative AI
- Agentic AI
- Azure AI Foundry
- Databricks
- multi-agent orchestration
- AI governance
- Responsible AI
- MLOps
- model lifecycle management
- AI architecture
- proof of concept
- LLM
- enterprise AI
- AI observability
- temporary contract
Seniority
Senior
Tools
- Azure AI Foundry
- Databricks