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

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.