Senior Azure Applications & AI Platform Specialist to design, implement, and support secure Azure
- Indépendant
Our public sector client is seeking a Senior Azure Applications & AI Platform Specialist to design, implement, and support secure Azure AI Foundry solutions and enterprise AI platforms.
Join a team focused on delivering secure, governed, and scalable AI capabilities across the organization. This role will support the assessment, design, deployment, and integration of Azure AI Foundry services, enterprise authentication, document intelligence solutions, and AI-enabled applications. The successful candidate will work closely with infrastructure, security, and application teams to implement production-ready AI solutions while ensuring security, compliance, supportability, and knowledge transfer.
1 year Contract, Remote, Working Hours: PST
Must Haves
- 5+ years of experience delivering enterprise solutions on Microsoft Azure
- Hands-on experience with Azure AI Foundry / Microsoft Foundry and enterprise AI platforms
- Strong experience with Microsoft Entra ID, SSO, OAuth 2.0, OpenID Connect, and identity management
- Experience with Azure services including Networking, Key Vault, Storage, App Services, Functions, API Management, and Monitoring
- Experience implementing Document Intelligence/OCR solutions and integrating applications, APIs, databases, and repositories
Nice to Have
- Experience with Azure AI Search, Azure Machine Learning, Content Safety, Purview, Defender for Cloud, or Sentinel
- Experience with Bicep, Terraform, Azure DevOps, or GitHub Actions
- Development experience with Python, C#, .NET, REST APIs, PowerShell, Azure CLI, JSON, or containers
- Azure certifications including Azure AI Engineer Associate or related Azure certifications
Responsibilities
- Assess Azure and AI environments and recommend target-state architectures
- Design, deploy, and support Azure AI Foundry resources, models, agents, and governance controls
- Implement Entra ID authentication and SSO for AI-enabled applications
- Design and integrate Document Intelligence and OCR solutions for document processing workflows
- Integrate AI services with enterprise applications, APIs, databases, repositories, and search platforms
- Validate security, privacy, performance, supportability, and cost optimization before production release
- Produce technical documentation, operational procedures, and knowledge-transfer materials
- Support internal teams through coaching, handoff, and operational readiness activities