Solution Architect – AI Driven Data & Analytics Platforms

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.

Responsibilities

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.

Qualifications

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

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
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We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.