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AI Architect

GState Consulting LLCChicago, IL🇺🇸United StatesPosted 5 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role : AI Architect 

Location: Chicago, IL 
Client: Brillio 
Job Type: Contract / Full-Time 

Rate: DOE 

Required Experience 

  • 10+ years of software engineering, solution architecture, or AI experience  

  • 3+ years of hands-on experience with Generative AI and LLM-based applications  

  • Strong experience with AWS, Azure, or Google Cloud Platform  

  • Experience designing enterprise AI solutions from architecture through deployment  

  • Strong understanding of Machine Learning and MLOps  

  • Experience with APIs, Microservices, and Cloud-native architecture  

  • Excellent communication and client-facing skills  

Required Technical Skills 

  • Generative AI  

  • Large Language Models (OpenAI, Claude, Gemini, Llama)  

  • Prompt Engineering  

  • Retrieval-Augmented Generation (RAG)  

  • AI Agents / Agentic AI  

  • LangChain / LangGraph / Semantic Kernel / LlamaIndex  

  • Python  

  • REST APIs  

  • Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)  

  • Docker & Kubernetes  

  • AWS / Azure / Google Cloud Platform  

  • Git, CI/CD  

  • SQL & NoSQL Databases  

Preferred Skills 

  • MCP (Model Context Protocol)  

  • Multi-Agent Architecture  

  • AI Governance & Responsible AI  

  • MLOps  

  • Databricks or Snowflake AI  

  • Knowledge Graphs  

  • Event-Driven Architecture  

  • Experience with BFSI, Healthcare, Retail, or Manufacturing domains  

Responsibilities 

  • Design enterprise AI and Generative AI solutions.  

  • Architect scalable AI applications using LLMs, RAG, and AI Agents.  

  • Define AI architecture standards and best practices.  

  • Collaborate with business stakeholders to translate requirements into technical solutions.  

  • Lead proof of concepts and production implementations.  

  • Review solution architecture and mentor engineering teams.  

  • Ensure security, scalability, governance, and performance of AI solutions.  

  • Work with cloud-native technologies and modern DevOps practices.  

Education 

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. 

Skills

Docker
Microservices
SQL
AWS
MLOps
Machine Learning
Snowflake
Azure
Databricks
Generative AI
Git
Google Cloud
Kubernetes
LLM
Python
REST

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