AI Architect

Recruiting In Motion; Toronto; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

A leading staffing agency in Toronto is seeking an experienced Ai Architect to create intelligent AI systems. The successful candidate will work closely with C-suite stakeholders to negotiate technical decisions and lead ML/AI project teams. This role offers the opportunity to work in a dynamic environment focused on innovation and strategy development.

Qualifications

• 6+ years of production software experience.
• 3+ years leading ML / AI projects.
• Experience presenting to board members or investors.

Responsibilities

• Architect and develop intelligent AI systems.
• Orchestrate workflows and optimise inference.
• Lead teams to execute AI strategies.

Skills

AI systems architecture

Leadership in ML / AI projects

Technical storytelling

Deep understanding of GenAI & LLM tooling

Tools

AWS

GCP

LangChain

LlamaIndex

PydanticAI

Job description

About Our Client

Our Toronto based client is looking for an Ai Architect to identify, map, and implement multiple AI solutions at some of the worlds most forward thinking, fast growth companies. This role can be based in Toronto or the Bay Area in California.

Responsibilities

• Architect & ship intelligent AI systems. Build production-ready LLM agents,
• Retrieval-Augmented Generation (RAG) pipelines and fine-tuned domain-specific models;
• Orchestrate workflows with frameworks like LangChain / LlamaIndex / PydanticAI, optimise inference and cost, and deploy on AWS / GCP with robust MLOps.
• Lead by influence, not org-chart. Orchestrate 2–3-person teams (selecting from our best talent) and embed seamlessly inside portfolio squads; set technical direction, code-review, unblock delivery.
• Executive storytelling. Convert deep-tech concepts into strategic outcomes; negotiate budgets and timelines with C-suite stakeholders.
• Hands-on R&D. Rapidly prototype, run ablation studies, publish internal tech notes and occasional external blog posts or papers.
• Co-create AI roadmaps with founders. Run discovery workshops, frame measurable wins and pitch 12–18-month AI strategies to CEOs and boards.
• Safety & governance. Ship privacy guardrails, evaluation pipelines and alignment tests to keep models reliable and compliant.

Qualifications

6+ yrs production software; 3+ yrs leading ML / AI projects

Prior work at a Series B+ scale-up or FAANG-class firm

Proven track record influencing CEO / C-suite decisions on tech spend or product direction

Presented to board members or investors

Deep grasp of GenAI & LLM tooling, vector DBs and scalable infra

Published research or OSS in ML systems

Comfortable embedding in external teams and shipping without direct authority

Experience with vertical SaaS, CyberSec, Software Infrastructure, AI Labs

High-agency, ambiguity-seeking, with crisp written & verbal storytelling