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AI Solutions Architect
Posted: 04/13/2026
Job Number: Job-7545
Pay Rate: $170-180K
Job Description
Overview
HumCap's client is seeking an experienced AI Solutions Architect to lead and evolve the enterprise AI solutions, with a primary focus on supporting and enhancing the AI Enhanced Search chatbot platform. This role is responsible for maintaining and improving the Azure-based Retrieval-Augmented Generation (RAG) application and developing new AI-powered tools for customers. You will also champion the internal adoption of Microsoft AI technologies across the organization.
Key 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.
Required Skills & Experience
·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.
Preferred Qualifications
·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.
Why Us?
Join a forward-thinking team where you’ll shape the future of AI-powered enterprise search and knowledge management. You’ll work with cutting-edge Microsoft technologies and have the opportunity to make a significant impact on our digital transformation journey.
HumCap's client is seeking an experienced AI Solutions Architect to lead and evolve the enterprise AI solutions, with a primary focus on supporting and enhancing the AI Enhanced Search chatbot platform. This role is responsible for maintaining and improving the Azure-based Retrieval-Augmented Generation (RAG) application and developing new AI-powered tools for customers. You will also champion the internal adoption of Microsoft AI technologies across the organization.
Key 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.
Required Skills & Experience
·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.
Preferred Qualifications
·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.
Why Us?
Join a forward-thinking team where you’ll shape the future of AI-powered enterprise search and knowledge management. You’ll work with cutting-edge Microsoft technologies and have the opportunity to make a significant impact on our digital transformation journey.
