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.

5+
Sailpoint

Required Skill Profession

Other General

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