AI Architect

Acestack; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Acestack is seeking a Full Time AI Architect in Toronto, ON to design and architect enterprise-grade Generative AI and Agentic AI solutions. The role requires hands-on work with Azure AI Foundry and Databricks to deliver scalable AI architectures and governance.

You will lead multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflows while guiding engineering teams through architecture reviews and best practices. onsite in Toronto.

Qualifications

• Proven expertise in Generative AI and Agentic AI architectures.
• Hands-on experience with Azure AI Foundry and Databricks.
• Ability to design multi-agent AI solutions at scale.
• Strong understanding of AI governance and Responsible AI.

Responsibilities

• Design scalable GenAI and Agentic AI architectures.
• Develop prototypes, PoCs, and reference implementations.
• Lead AI deployment strategies focusing on scalability and security.
• Establish AI governance, lifecycle management, and compliance controls.
• Collaborate with stakeholders across data science, engineering, and product teams.
• Define enterprise AI architecture standards and technical guidelines.
• Monitor performance, observability, and risk management of AI systems.

Skills

Generative AI

Agentic AI

Azure AI Foundry

Databricks

Architecture leadership

Stakeholder management

Job description

Role: AI Architect
Employment: Full Time
Location: Toronto, ON
Work Arrangement: Onsite

Job Description

We are seeking a Full Time AI Architect to design and architect enterprise-grade Generative AI and Agentic AI solutions using Azure AI Foundry and Databricks

Key Responsibilities

• Design scalable GenAI and Agentic AI architectures
• Develop hands-on prototypes, PoCs, and reference implementations
• Build multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflows
• Define reusable Agentic AI frameworks, accelerators, and architecture patterns
• Lead AI deployment strategies focused on scalability, reliability, security, and maintainability
• Establish AI governance, model lifecycle management, auditing, and compliance controls
• Drive Responsible AI practices covering fairness, transparency, privacy, security, and ethics
• Collaborate with business stakeholders, data scientists, engineers, and product teams
• Define enterprise AI architecture standards and technical guidelines
• Implement AI observability, monitoring, performance optimization, and risk management
• Guide engineering teams through architecture reviews and AI development best practices

Required Skills

• Strong Generative AI and Agentic AI architecture experience
• Hands-on Azure AI Foundry and Databricks experience
• Experience designing multi-agent AI solutions
• Strong understanding of AI governance and Responsible AI
• Experience with enterprise AI deployment and scalability
• Strong architecture, technical leadership, and stakeholder management skills