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Job Title: Azure AI Solutions Architect
Location: Remote
Rate: $55/hr on C2C
Visa: No OPT/CPT, Fake GC
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.
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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.
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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
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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)
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