AI Solutions Architect- Hybrid

IRMIDallas, TX
10dHybrid

About The Position

IRMI is seeking an experienced AI Solutions Architect to lead and evolve our enterprise AI solutions, with a primary focus on supporting and enhancing our AI Enhanced Search chatbot platform. This role is responsible for maintaining and improving our Azure-based Retrieval-Augmented Generation (RAG) application and developing new AI-powered tools for our customers. You will also champion the internal adoption of Microsoft AI technologies across the organization.

Requirements

  • Proven experience architecting and deploying AI solutions on Microsoft Azure (Cosmos DB, Function Apps, Storage, OpenAI).
  • Strong proficiency in Python and .NET for Azure Functions.
  • Deep understanding of vector search, document embeddings, and retrieval-augmented generation (RAG) architectures.
  • Experience with Azure Key Vault, Application Insights, and secure API integrations.
  • Familiarity with Azure AI Foundry for building and integrating business applications.
  • Experience with OpenAI models (GPT-4o, GPT-5-nano, ADA embeddings) and related Python libraries (langchain, openai, tiktoken, numpy, etc.).
  • Ability to manage and optimize cloud resources, rate limits, and deployment pipelines.
  • Strong troubleshooting, documentation, analytics, and communication skills.

Nice To Haves

  • Bachelor's degree in computer science, Data Science, Engineering, Information Technology, or a closely related field.
  • Microsoft Azure certifications (AI Engineer, Solutions Architect, Data Engineer).
  • 2+ years' experience in enterprise search, chatbot development, and feedback-driven AI improvement.
  • Knowledge of Azure DevOps and Microsoft Dynamics 365 is a plus.

Responsibilities

  • Architect, maintain, implement, and optimize scalable AI solutions using Microsoft Azure, including Azure OpenAI, Cosmos DB, Function Apps (.NET and Python), and Azure Storage Accounts.
  • Ensure compliance, data governance, and security in all AI and data operations, including management of sensitive data and adherence to organizational policies.
  • Monitor, troubleshoot, and analyze solutions using Application Insights to drive continuous improvement, optimize performance, cost, and user experience.
  • Support and enhance the AI Enhanced Search chatbot, managing document embedding and vector search pipelines.
  • Collaborate with cross-functional teams to integrate AI capabilities and ensure quality and best practices.
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