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AI Solution Architect – Vertex AI, LLMs & Multi-Agent AI


Job Location:

Toronto - Canada

Monthly Salary: K 10 - 10
Experience Required: 5years
Posted: 10 July 2026 (30+ days ago)
Application Deadline: 7 October 2026
Vacancies: 1 Vacancy

Job Summary

AI Solution Architect Vertex AI Multi-Agent AI LLM & RAG
Role Summary

Design and govern a multi-agent AI architecture for vulnerability triage and automated remediation using Vertex AI GPT and Claude.

Required Skills
AI & Cloud Platforms

Vertex AI
GCP AI Services
Prompt Engineering
Large Language Models (LLMs) including:
GPT
Claude
Gemini
LangChain
Semantic Kernel

Vector Databases & Knowledge Management

Vector databases including:
Pinecone
FAISS
Vertex AI Embeddings

Programming & Machine Learning

Python
Machine Learning (ML) Pipelines

AI / Agentic AI Expertise

Deep expertise in:
Multi-agent collaboration
LLM judge and scoring models
Autonomous decision-making
Fallback logic
Design secure and explainable AI outputs.

Key Responsibilities
AI Architecture & Orchestration

Design multi-agent architecture including:
Triage agents
Remediation agents
Judge agent
Build LLM orchestration using Vertex AI LangChain and agent frameworks.
Implement prompt engineering prompt chaining and tool usage delegation.

RAG & Knowledge Management

Define Retrieval-Augmented Generation (RAG) pipelines using secure coding knowledge packs.
Design agent memory using:
Vector databases
Knowledge graphs

Model Governance & Evaluation

Establish model evaluation frameworks covering:
Accuracy
False positives
Latency
Define model versioning evaluation harnesses and governance frameworks.




Required Skills:

Sailpoint