Posted 4 months ago
AI Solution Architect – Vertex AI, LLMs & Multi-Agent AI
@ Astra North Infoteck Inc.
Toronto, Ontario
Overview
Astra North Infoteck Inc. is hiring an AI Solution Architect to design and govern a multi-agent AI architecture for vulnerability triage and automated remediation using Vertex AI, GPT and Claude. The work covers LLM orchestration, RAG pipelines, agent memory and model evaluation governance.
Responsibilities:
- Design multi-agent architecture with triage, remediation and judge agents
- Build LLM orchestration using Vertex AI, LangChain and agent frameworks
- Define RAG pipelines using secure coding knowledge packs
- Establish model evaluation frameworks and governance
Requirements summary:
- Deep expertise in multi-agent collaboration and autonomous decision-making
- Experience with Vertex AI, GCP AI services and LLMs such as GPT, Claude and Gemini
- Proficiency in Python and machine learning pipelines
- Experience with vector databases such as Pinecone and FAISS
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-07-08
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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.
Journal
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