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.

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