Azure Data & AI Solution Architect

Role overview

AI and data platform delivery

• Build grounded Azure AI assistants and agents using retrieval, tool calling, and workflow orchestration; take pilots through production, including orchestration on Logi Capps or n8n.
• Define agent permissions, human approvals, escalation, audit trails, evaluation, monitoring, and rollback; require approval for financial or contractual commitments.
• Prioritize tenant enquiries, lease and policy retrieval, maintenance triage, and finance exception support with measurable business outcomes.
• Design a lakehouse or data lake using Azure Data Lake Storage and Fabric or Azure Databricks, justifying choices against cost, skills, and workloads.
• Capture organizational KPIs, strategy, and operations and ensure reports and AI answers are accurate and automated.

Integration, governance, and architecture

• Integrate Yardi and agreed CRM, facilities, finance, and document sources through supported interfaces; define ingestion frequency, reconciliation, error handling, and data contracts.
• Model properties, units, tenants, leases, assets, work orders, and financial transactions; establish identifiers, data ownership, quality rules, lineage, and governed semantic models.
• Implement role-based access, identity, secrets, secure connectivity, retention, and recovery; ensure retrieval respects source permissions.
• Confirm Yardi products, modules, versions, licenses, and supported interfaces before specifying integrations or transaction write-back.
• Assess native Yardi AI against Azure custom agents by workflow, considering regional availability, security, Arabic support, cost, and vendor support.
• Keep Yardi authoritative for agreed property and finance records; reconcile lakehouse data and control authorized write-back.
• Work with business owners on future workflows, process ownership, service levels, human and agent responsibilities, exception handling, and adoption.
• Apply TOGAF to baseline, target, and transition architectures, gap analysis, architecture decisions, and the implementation roadmap.
• Maintain Sparx Systems Enterprise Architect data and technology models; trace capabilities and processes to applications, agents, data entities, and technology using ArchiMate and UML views.

Qualifications and experience

• Bachelor’s degree in computer science, engineering, information systems, or equivalent relevant professional experience.
• TOGAF certification required; TOGAF Enterprise Architecture Practitioner or TOGAF 9 Certified preferred. Certification evidence should be verified.
• Relevant Microsoft Azure AI, data, or solution architecture credentials preferred; practical project outcomes carry greater selection weight.
• 10+ years in technology delivery, solution architecture, or data platforms, including substantial hands-on Azure data architecture and recent production AI delivery.
• Experience with Azure AI Foundry, Azure OpenAI, AI Search, RAG, tool calling, and agent orchestration.
• Proven agentic AI and RAG delivery, including evaluation, reliable tool use, permission controls, and operational support.
• Strong Python, SQL, API integration, and Azure data engineering; experience with Azure-hosted AI models, AI search, orchestration, and deployment automation.
• Yardi Voyager or related Yardi integration experience and property, leasing, facilities, or real estate finance knowledge; GCC delivery and Arabic AI evaluation preferred.
• Fluent written and spoken English; Arabic is an advantage.

About the company