Azure AI Solutions Architect (Remote – USA)

Job Description

Azure AI Solutions Architect (Remote – USA) Role Overview

We are looking for an Azure AI Solutions Architect to lead the design and implementation of enterprise-scale AI platforms using Microsoft Azure. This role is responsible for defining AI architecture, enabling production-grade Generative AI systems, and ensuring secure, scalable deployment of AI solutions across enterprise applications.

The ideal candidate will combine cloud architecture expertise, AI engineering knowledge, and enterprise integration experience.

Key Responsibilities AI Architecture & Strategy

Architect enterprise AI platforms using Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.

Design scalable architectures for Generative AI, NLP, and intelligent automation solutions.

Lead implementation of Retrieval-Augmented Generation (RAG) and knowledge retrieval systems.

Cloud Architecture

Design cloud-native architectures using Azure PaaS, serverless services, and microservices.

Define best practices for scalability, resiliency, and performance.

Architect solutions using Azure Functions, Kubernetes, App Services, and event-driven systems.

Enterprise AI Integration

Integrate AI capabilities into enterprise platforms such as:

ERP systems

Financial systems

Digital customer platforms

Design secure API-based integration architectures.

DevOps & Platform Engineering

Establish Infrastructure as Code using Terraform or Bicep.

Implement enterprise CI/CD pipelines using Azure DevOps or GitHub Actions.

Data & AI Platform Design

Design AI data pipelines using Azure Databricks, Data Factory, and Lakehouse architectures.

Enable enterprise data pipelines supporting AI training and inference.

Governance, Security & Responsible AI

Implement Responsible AI frameworks and governance policies.

Ensure compliance with regulatory and enterprise security standards.

Design identity and access frameworks using Azure Entra ID.

Required Qualifications

8+ years of cloud architecture experience

5+ years working with Microsoft Azure

Proven experience designing AI/ML enterprise platforms

Deep understanding of LLMs, NLP, and Generative AI systems

Strong knowledge of Azure networking, governance, and identity architecture

Experience with enterprise AI solution deployment

Preferred Qualifications

Financial services or banking domain experience

Hands-on experience with vector databases and semantic search

Azure certifications such as:

Azure Solutions Architect Expert

Azure AI Engineer Associate (AI-102)