Jobs in Vaughan

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Within 25 km of Vaughan

Added 14 days ago
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Yochana

AI Tech Lead

Brampton, ON, Canada

Contract

Within 25 km of Vaughan · About 24.5 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 15, 2026
Posted: Oct 16, 2026

Original job description

Position Name – AI Tech Lead

Type of hiring – Subcon

Location – Brampton, ON or Toronto, ON (Onsite)

Job Description:

We are looking to hire an AI Tech Lead to own and drive the architectural foundation of our AI ecosystem.

What You Will Do

Architectural Leadership - Define and evolve the end‑to‑end architecture for RAG pipelines, agent frameworks, and distributed inference systems. Prioritize scalability, latency, and UX‑aligned output determinism.
Rigorous Evaluation - Build custom evaluation harnesses for AI agents, RAG, and LLM reasoning. Move beyond out‑of‑the‑box metrics with domain‑specific scoring, adversarial tests, and regression suites.
Advanced AI Paradigms - Continuously integrate cutting‑edge methodologies (structured reasoning, tool‑use optimization, memory systems, multi‑agent collaboration).
Technical Mentorship - Coach developers on AI security, token‑economics, UX patterns, and safe deployment practices. Establish coding standards and architectural guardrails.

Required Qualifications

Proven leadership delivering production‑grade ML/AI systems.
Strong foundations in vector math, LLM internals, embeddings, agent frameworks, and evaluation science.
Knowledge of Google’s GECX is a strong bonus.
Expertise in systems‑level programming, distributed architecture, and performance‑critical code.

Skillset Requirements

Systems Architecture - Expertise designing distributed AI systems, multi‑agent frameworks, and scalable RAG pipelines.
LLM Internals - Deep understanding of transformer mechanics, attention patterns, tokenization, and inference optimization.
Evaluation Science - Ability to design adversarial tests, regression suites, and domain‑specific scoring functions.
AI Security - Knowledge of jailbreak prevention, prompt‑injection defense, secure tool‑use, and zero‑trust agent routing.
Tokenomics - Ability to optimize token usage, context windows, and cost‑latency trade-offs.
Distributed Systems - Experience with load balancing, sharding, concurrency, and high‑availability inference clusters.
Observability - Familiarity with tracing, logging, telemetry, and agent‑level debugging.
DevOps for AI - CI/CD for model updates, containerization, GPU orchestration, and rollout strategies.
Mentorship & Leadership - Ability to enforce engineering discipline, code quality, and architectural guardrails.
Responsible AI & Governance - Guardrail design, content-safety policy, and audit/traceability for regulated deployments.

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More about this job

Responsibilities

Lead the architecture and evolution of AI systems, including RAG pipelines, agent frameworks, and distributed inference, with a focus on scalability, latency, and predictable outputs. Develop rigorous evaluation and security practices, integrate advanced AI methods, and mentor developers while establishing engineering standards and architectural guardrails.

Requirements

Requires proven leadership delivering production-grade AI or ML systems, strong knowledge of LLM internals, embeddings, vector mathematics, agent frameworks, and evaluation methods. Also requires expertise in distributed architecture, performance-critical systems, AI security, observability, AI DevOps, token-cost optimization, responsible AI governance, and technical mentorship.

Skills

AI Systems Architecture
Retrieval-Augmented Generation (RAG)
Agent Frameworks
Distributed Inference Systems
Large Language Model Internals
Evaluation Science
AI Security
Distributed Systems
Performance Optimization
Observability
AI DevOps
Token Optimization
Responsible AI Governance
Technical Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
RAG Pipelines
Agent Frameworks
Distributed Inference
Large Language Models
Transformer Mechanics
Attention Patterns
Tokenization
Embeddings
Vector Mathematics
Evaluation Harnesses
Adversarial Testing
Regression Suites
Structured Reasoning
Tool Use
Memory Systems
Multi-Agent Collaboration
Prompt Injection Defense
Jailbreak Prevention
Zero-Trust Agent Routing
Token Economics
Load Balancing
Sharding
High Availability
Tracing
Telemetry
CI/CD
GPU Orchestration
Responsible AI

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