AI Solution Architect – Vertex AI, LLMs & Multi-Agent AI
Summary
Design and govern a multi-agent AI system for vulnerability triage and automated remediation using Vertex AI, LLMs, and RAG pipelines.
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
- 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 and knowledge graphs
Model Governance & Evaluation
- Establish model evaluation frameworks covering accuracy, false positives, latency
- Define model versioning, evaluation harnesses, and governance frameworks