Roles and Responsibilities :

Define the reference architecture, standards, and target-state roadmap for the enterprise Data & AI platform.
Lead architecture design for data products, AI applications, and AI agents, including model selection, grounding patterns, tool integration, orchestration, and lifecycle controls.
Design integration patterns across Microsoft 365, Power Platform, Dataverse, ERP, CRM, HR, ITSM, APIs, and custom Azure services.
Establish design guardrails for security, privacy, identity, DLP, observability, resilience, and scalability across the platform.
Guide solution teams on when to use Fabric, Foundry, Copilot Studio, Power Automate, or custom Azure components based on business and technology requirements.
Facilitate architecture workshops, design reviews, and key decision forums with engineering, business, governance, and security stakeholders.
Mentor engineering and product teams and contribute to reusable architecture assets, patterns, and standards.

Skills:

Strong architecture experience across Azure cloud, enterprise integration, and data platform design.
Deep understanding of Microsoft Fabric and modern data platform patterns for ingestion, storage, serving, and governance.
Hands-on understanding of Microsoft Foundry capabilities for AI applications and agents, including evaluation, monitoring, and lifecycle considerations.
Hands-on understanding of Copilot Studio, including connectors, actions, topics, orchestration patterns, and enterprise deployment considerations.
Strong knowledge of security, identity, access management, compliance, and operational governance in enterprise Azure environments.
Excellent stakeholder engagement, workshop facilitation, and documentation skills, with the ability to create clear and actionable design decision.

Experience:

Minimum 5–7+ years of architecture experience in Azure-based enterprise environments.
Demonstrated experience defining target architectures, reference patterns, or solution standards for complex platforms.
Experience working with both business stakeholders and engineering teams to translate use cases into scalable platform decisions.
Prior experience with AI platform architecture, agent architecture, or enterprise copilot design is strongly preferred.

Data and AI Architect

Job Description