About the role

AI Architect at Intelligen designing scalable AI and data solutions using Microsoft Fabric for APAC clients. Leading architecture for enterprise AI use cases and platform modernization initiatives.

Responsibilities

Lead the architecture and design of AI and data solutions for 1-2 clients across Australia (Microsoft ecosystem)
Design modern, scalable solutions using Microsoft Fabric, Azure Data Services, Power BI, Microsoft Purview, and the broader Microsoft AI stack
Define end-to-end architecture patterns across data ingestion, transformation, semantic modelling, governance, machine learning, and AI enablement
Support the design of enterprise AI use cases including predictive analytics, generative AI, copilots, and intelligent automation
Translate business and functional requirements into well-structured, secure, and scalable architecture designs
Guide clients on platform modernisation and migration strategies into Microsoft Fabric and Azure-native environments
Establish architecture guardrails, design standards, and best practices across performance, security, governance, and operational support
Collaborate with engineering and consulting teams to ensure solutions are delivered in line with architecture intent and business outcomes
Support data governance, lineage, quality, and compliance initiatives through Microsoft-centric capabilities such as Purview and Fabric
Contribute to project planning, solution design, and delivery execution across a range of client engagements
Support pre-sales, solution shaping, proposal development, and client workshops as we continue to grow our APAC footprint

7+ years’ experience in data, analytics, AI, or architecture roles, with strong consulting or client-facing exposure
Proven experience designing enterprise data and AI solutions on Microsoft Azure and Microsoft Fabric
Strong understanding of Fabric capabilities including Data Factory, Data Engineering, Data Science, Data Warehouse, Real-Time Intelligence, OneLake, and Power BI
Experience architecting modern AI solutions using Azure AI services, Azure Machine Learning, Azure OpenAI, or Microsoft Copilot-related patterns
Strong understanding of data architecture principles including medallion design, semantic modelling, master data, metadata, lineage, and governance
Experience with Microsoft Purview and enterprise data governance practices is highly regarded
Strong knowledge of cloud security, access models, privacy, and responsible AI considerations within Microsoft environments
Ability to engage with senior stakeholders and translate strategy into practical architecture and delivery plans
Excellent communication, written and spoken
Ability to work independently, flexibly, and collaboratively across distributed teams
A mindset of curiosity, delivery excellence, and continuous learning

Structured development pathways so you always know what you’re working toward.
Paid certifications across all major cloud and data technologies (mastery matters)
Weekly training and knowledge exchanges where practitioners share real project insights.
A dedicated support lead to mentor, guide and help you navigate your career
Regular 360° feedback loops, giving you clear direction and honest insight into your progress.
Innovation days where you can experiment, prototype and sharpen new skills.
Team days, social catchups, many new community clubs…
Opportunities to lead, influence and shape our growing practice as we expand across the region.