AI Architect

Job Title: AI Lead / AI Architect

Job Location: Chicago, IL (Onsite)

Job Type: Full-Time (FTE)
Position Summary

We are seeking a highly skilled and experienced AI Architect to lead AI initiatives for an enterprise digital transformation program. The ideal candidate has strong hands-on experience with Azure OpenAI services, Python (FastAPI), and Retrieval-Augmented Generation (RAG) solutions. This role will be instrumental in designing and deploying intelligent chatbot solutions and scalable AI applications on Microsoft Azure.

You ll collaborate closely with product, data, and engineering teams to deliver cutting-edge AI-powered applications and integrations, ensuring high performance, security, and scalability.

Roles & Responsibilities

• Lead the end-to-end architecture and deployment of AI chatbot solutions using RAG methodology with Azure OpenAI and Azure Cognitive Search.
• Build and expose APIs using Python (FastAPI) to connect AI models with enterprise systems.
• Utilize Azure Functions, Azure Kubernetes Service (AKS), and other Azure-native tools to develop scalable AI services.
• Design and manage vector search architectures using tools like Pinecone, FAISS, or Weaviate.
• Rapidly prototype and deliver POCs/MVPs with technical documentation and performance monitoring.
• Integrate AI-driven modules with Salesforce Einstein and Agentforce
• Apply DevOps principles using Azure DevOps, Docker, and Kubernetes for CI/CD, monitoring, and deployment automation.
• Collaborate with product owners, data engineers, and cloud architects to deliver production-grade AI systems.
• Mentor team members and conduct code reviews, design validations, and knowledge sharing sessions.

Qualifications & Skills

• 10 years of total experience in software development with 2 3 years focused on AI, LLMs, and RAG architecture.
• Proficiency in Python and FastAPI (Mandatory); knowledge of C# is a plus.
• In-depth expertise in Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning.
• Working knowledge of vector databases (Pinecone, FAISS, Weaviate).
• Experience with Salesforce, Einstein, Agentforce
• Hands-on experience with Azure SQL, CosmosDB, and enterprise-grade API development.
• Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred).
• Solid knowledge of OAuth, JWT, and secure API practices.
• Experience deploying workloads on Azure Kubernetes Service (AKS) and automating deployments via Azure DevOps.
• Strong written and verbal communication with the ability to translate business requirements into scalable AI architecture.