Solution Architect

Role Overview

The Solution Architect is responsible for owning the end-to-end architecture of an enterprise AI-driven data and analytics platform, translating complex business requirements into scalable, secure, and governed solution designs. This role plays a critical leadership function during the Discovery & Define phases, setting the architectural blueprint and ensuring it evolves into a robust, production-grade enterprise solution.

With 10+ years of experience, the Solution Architect provides architectural direction across AI, data, analytics, and integration layers, balancing long-term platform strategy with near-term delivery needs.

Governance, Security & Compliance

• Ensure alignment with Microsoft and enterprise governance standards, including: 
  • Microsoft Entra ID for identity and access management
  • Responsible AI principles and enterprise AI governance
  • Audit logs, telemetry, and monitoring for AI and data systems
• Work closely with security, compliance, and platform teams to enforce policies.

Cross-Functional Leadership & Collaboration

• Collaborate with Data Engineers, AI Engineers, and App Integration Engineers to: 
  • Refine architectural designs through implementation feedback
  • Resolve cross-domain design challenges
  • Ensure alignment between architecture and delivery
• Act as a technical authority and trusted advisor to stakeholders.

Required Skills & Experience

Experience

• 10+ years of experience in solution architecture, enterprise architecture, or technical leadership roles
• Proven track record designing and delivering enterprise-scale data and AI platforms

Technical Expertise

• Strong, hands-on architectural knowledge of: 
  • Microsoft Fabric (OneLake, Lakehouse, SQL Analytics Endpoints)
  • Azure AI services / Azure AI Foundry
  • Power BI Semantic Models and analytics architecture
• Experience designing cloud-native integration, data, and AI architectures.

Architecture & Integration

• Deep understanding of: 
  • Cloud-native and hybrid integration patterns
  • Security architectures and identity-driven access control
  • API, event-driven, and data integration models

Leadership & Communication

• Ability to balance technical depth with executive-level communication
• Strong stakeholder engagement skills across business and engineering teams
• Comfort leading architectural discussions, trade-off analysis, and design reviews

Key Responsibilities

End-to-End Solution Architecture Ownership

• Own the overall solution architecture across: 
  • User Experience: Microsoft Teams, Web applications, SharePoint
  • AI Orchestration: Azure AI Foundry, agent routing and execution
  • Specialist Data Agents: Domain-specific and function-specific agents
  • Semantic Models: Power BI semantic layer and business logic
  • Data Platform: Microsoft Fabric (OneLake, Lakehouse, SQL Analytics)
• Ensure architectural consistency, scalability, and extensibility across all layers.

Discovery & Architecture Definition

• Lead Discovery and envisioning workshops to: 
  • Understand business objectives, questions, and success metrics
  • Identify data domains, integration points, and constraints
  • Translate business needs into architectural principles and solution scope
• Define reference architectures, target-state designs, and transition roadmaps.

AI & Agent Architecture Design

• Design AI orchestration and agent patterns, including: 
  • Intent detection and intelligent request routing
  • Parallel and coordinated agent execution
  • Guardrails, grounding strategies, and evidence-based responses
• Ensure AI designs support explainability, auditability, and trust.

Non-Functional & Enterprise Requirements

• Define and enforce non-functional requirements, including: 
  • Scalability and performance
  • Security and access control
  • Latency, reliability, and operational resilience
• Ensure the solution meets enterprise-grade standards for availability and maintainability.