Job Details:
Job Title: Azure AI Solutions Architect
Location: 100% Remote
Duration: 6+ Months Contract
Description:
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.
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)
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