Tittle: Senior AI Architect

Location: Toronto, ON

Mode : Contract /FTE

Experience : 10+ Years of IT Experience with 5+ years in AI/ML, GenAI, and Enterprise Architecture

Location : Canada / Hybrid

Role Summary

We are seeking a highly experienced Senior AI Architect to lead the design, implementation, and governance of enterprise AI solutions. The ideal candidate will have deep expertise in AI/ML platforms, Generative AI, Large Language Models (LLMs), Agentic AI, cloud architecture, and data engineering. The individual will be responsible for defining AI architecture roadmaps, driving innovation, and delivering scalable, secure, and business-aligned AI solutions across the organization.

This role aligns with responsibilities found in the organization's AI Solution Architect profile.

Key Responsibilities

AI Strategy & Architecture

- Define enterprise AI architecture and transformation roadmap.
- Design scalable AI/ML, GenAI, and Agentic AI solutions.
- Develop reference architectures, standards, and governance frameworks.
- Lead architecture reviews and technology selection.

Generative AI & Agentic AI
- Design and implement solutions leveraging:
- LLMs (GPT, Claude, Gemini, Llama)
- RAG architectures




- Vector databases
- Multi-agent systems
- MCP and tool-integration frameworks
- Establish AI guardrails, prompt engineering standards, and Responsible AI practices.

Data & Platform Architecture
- Define data ingestion, transformation, governance, and quality frameworks.
- Architect AI-ready data platforms on Azure, AWS, or GCP.
- Design real-time and batch processing solutions.

MLOps / LLMOps
- Establish CI/CD pipelines for AI models.
- Drive model deployment, observability, monitoring, and lifecycle management.
- Enable AI platform scalability, reliability, and cost optimization.

Security, Risk & Compliance
- Implement security-by-design principles.
- Ensure compliance with regulatory and enterprise governance requirements.
- Define AI risk management and model governance processes.

Stakeholder & Leadership Management
- Work closely with business stakeholders to identify AI opportunities.
- Lead client workshops, solution discussions, and executive presentations.
- Support RFP/RFI responses and AI solutioning activities.
- Mentor architects, AI engineers, and data scientists

📌 AI Solution Architect (Toronto)
🏢 KTek Resourcing
📍 Toronto