Job Description 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 Lang

Chain 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, Lang

Chain, 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.

Requirements Sailpoint

📌 AI Solution Architect – Vertex AI, LLMs & Multi-Agent AI (Toronto)
🏢 Astra North Infoteck
📍 Toronto