Sr. AI Architect (J10068)

TechDoQuest; Brampton; On-site; CAD 180,000 - 240,000; Full time

Job summary

TechDoQuest in Brampton, Canada seeks a Senior AI Architect to lead strategic AI initiatives, shaping QA, development and governance across client environments.

You will design, deploy and scale AI solutions, architect multi-agent and LLM-powered workflows, and drive ROI by turning PoCs into secure, scalable deployments.

Expect collaboration with client centers of excellence, cross‑functional delivery teams, and hands‑on work with Agentic AI tools to advance frameworks and tooling.

Responsibilities

• Analyse IT ecosystem strategically focusing on QE and Development to design, deploy and scale AI solutions in client environments.
• Requires minimum 15 years of industry experience and thorough knowledge of IT processes, release systems and protocols.
• Proven AI solutions implemented delivering tangible client benefits in development and QE.
• Architect multi-agent systems, LLM-powered autonomous workflows, RAG pipelines and enterprise AI governance.
• Adept at automating workflows across AWS, Azure and Google platforms.
• Partner with the client's Center of Excellence on AI tools to address testing and development challenges.
• Present ideas and roadmaps to customers for AI-driven software lifecycle improvements, helping move from PoCs to secure, scalable ROI.
• Hands-on work with Agentic AI tools and development.
• Collaborate with in-house teams to understand global solutions and contribute to framework/tool improvements.

Job description

• 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