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.