Sr. AI Architect

Brampton, ON
On-site
Posted Sep 3, 2026
1 position

Opens an external site

Employment type: Contract
Experience level: Lead · 10+ years
Apply by: Mar 2, 2027
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

The role involves designing and scaling enterprise-grade AI solutions, specifically focusing on multi-agent systems and RAG pipelines within the QE and development space. The architect will partner with the client's Center of Excellence to move AI proofs of concept into secure, scalable production environments.

Job details

As Senior AI Architect, candidate will be responsible to technically and strategically analyse the IT ecosystem, focussing on Quality Engineering and Development, to design, deploy and scale AI solutions in client environments Minimum 15 years of Industry experience and thorough knowledge of IT processes, Release systems, protocols and typical challenges Must have implemented proven AI solutions with tangible benefits to the client in Development and QE space. Responsible for architecting multi agent systems, LLM powered autonomous workflows, retrieval augmented generation (RAG) pipelines and enterprise grade AI governance Should be adept in handling and automating workflows on all platforms including AWS, Azure and Google Partner the client and their Center of Excellence on AI Tools and research to address technical problem statements in testing and development Regularly present to the customer, new ideas and roadmaps on improvement in software lifecycle through AI. Help clients move from isolated proofs of concept to secure and scalable solutions with tangible ROI Hands on with Agentic AI tools and development Liaise closely with in house competency and delivery teams to understand various solutions implemented globally and contribute in further improvements and new development of framework and tools

What you’ll do

Requirements

Candidates must have at least 15 years of industry experience with a proven track record of implementing AI solutions that provide tangible business benefits. Proficiency in major cloud platforms (AWS, Azure, GCP) and hands-on experience with Agentic AI tools is required.