Remote Senior AI Platform Architect: Azure & Security

Acceler8 Talent; Massachusetts; On-site; USD 180,000 - 240,000; Full time

Job summary

Acceler8 Talent is seeking a Senior AI Platform Architect to lead the design and delivery of enterprise-scale AI platforms and secure production deployments across a global technology organization.

The role focuses on AI platforms, enterprise architecture, cloud infrastructure, security, and application integration, coordinating across Azure, APIs, data, and business applications to move AI initiatives from concept to production.

Qualifications

• Must have experience designing enterprise AI platforms or AI-enabled applications.
• Deep understanding of enterprise architecture, cloud platforms, integrations, and security.
• Strong experience with Microsoft Azure and enterprise AI tooling.

Responsibilities

• Design architecture for enterprise AI platforms, applications, and agent-based systems.
• Build secure integrations between AI systems, internal apps, APIs, and data.
• Define architecture patterns for deploying AI across large organizations.
• Work with Azure, AI services, Microsoft 365, and enterprise apps.
• Design authentication/authorization models (OAuth, SSO, Entra ID, managed identities).
• Develop integration patterns around APIs, tools, agents, and enterprise systems.
• Translate AI use cases into scalable technical architectures.
• Create architecture blueprints, standards, and production deployment decisions.
• Collaborate with engineering, security, infrastructure, data, and business teams to take AI initiatives to production.

Skills

Enterprise AI platforms

Azure

Security

APIs

Identity

Enterprise integration patterns

OAuth/SSO

Agent architectures

Tools

Azure AI Foundry

Azure OpenAI

Microsoft Copilot

Job description

Acceler8 Talent is seeking a Senior AI Platform Architect to lead the design and delivery of enterprise-scale AI platforms and secure production deployments across a global technology organization.

The role focuses on AI platforms, enterprise architecture, cloud infrastructure, security, and application integration, coordinating across Azure, APIs, data, and business applications to move AI initiatives from concept to production.