AI Architect

Tekshapers; Toronto; On-site; CAD 140,000 - 190,000; Full time

Job summary

Tekshapers in Canada seeks a Senior AI Architect to own end-to-end AI solution design, from discovery to production deployment and ongoing monitoring.

You will translate business objectives into architectures, govern platforms across foundation models, RAG, agent orchestration, data sources, and security controls while ensuring responsible AI practices and regulatory compliance.

Qualifications

• Proven experience designing and delivering end-to-end AI solutions from discovery through production.
• Strong expertise in Generative AI, RAG, and agentic AI.
• Hands-on knowledge of Azure AI Services, APIs, containers, and scalable cloud architectures.
• Experience in AI governance, security, privacy, and responsible AI practices.
• Ability to lead cross-functional engineering and data science teams and communicate architecture decisions.

Responsibilities

• Own end-to-end AI solution architecture from use-case discovery through production deployment.
• Translate business objectives into AI designs with measurable outcomes.
• Design and govern AI platforms across foundation models, RAG, agent orchestration, data sources, and security controls.
• Establish governance, risk, and evaluation frameworks for model quality, privacy, and safety.
• Provide technical leadership and communicate architecture decisions and trade-offs to stakeholders.

Skills

AI architecture

End-to-end AI

Generative AI

RAG

Agentic AI

Foundation Models

Prompt Engineering

MLOps/LLMOps

Responsible AI

Governance

Tools

Azure OpenAI

Azure AI Services

APIs

Containers

Vector Databases

IAM

Security controls

Job description

Own end-to-end AI solution architecture from use-case discovery, feasibility assessment, experimentation, production deployment, and ongoing operational monitoring.

Translate business objectives into AI solution designs by defining AI use cases, decision boundaries, architecture patterns, acceptance criteria, and measurable business outcomes.

Design and govern AI platforms and solutions across foundation models, RAG, agent orchestration, data sources, vector search, APIs, cloud infrastructure, security controls, and human-in-the-loop processes.

Establish AI governance, risk, and evaluation frameworks covering model quality, hallucination, groundedness, security, privacy, responsible AI, compliance, performance, cost, and operational readiness.

Provide technical leadership and architecture assurance by guiding engineering and data science teams, reviewing AI implementations, validating solution effectiveness, and communicating architecture decisions, risks, and trade-offs to business and technology stakeholders

Required Skill Set:

Proven experience designing and delivering end-to-end AI, Generative AI, Machine Learning, RAG, and Agentic AI solutions from use-case discovery through production deployment.

Generative AI, RAG & Agentic AI Expertise

Strong hands‑on knowledge of Foundation Models, Prompt Engineering, Embeddings, Vector Databases, Retrieval‑Augmented Generation (RAG), Tool Calling, Agent Orchestration, and AI Guardrails.

Experience with Azure AI Services, Azure OpenAI, Model Hosting, APIs, Event‑Driven Integration, Containers, Identity & Access Management, and scalable cloud‑native AI architectures.

MLOps / LLMOps, AI Evaluation & Production Operations

Experience defining model evaluation frameworks, observability, monitoring, deployment pipelines, versioning, rollback mechanisms, drift detection, and operational readiness for production AI systems.

Responsible AI, AI Security & Governance

Strong understanding of AI governance, model risk management, privacy engineering, security controls, human‑in‑the‑loop designs, compliance requirements, AI safety, bias/fairness assessment, and responsible AI practices.

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”