Job Description
Insight Global is looking for an Azure Data & AI Architect to join the team supporting a commercial client. The Architect will be responsible for the following:
design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).
This is a hands-on consulting role - approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre-sales support.
You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non-technical stakeholders.
This role is not research-only, prompt-only, or slideware-focused. You will be expected to ship real solutions.
This role is client-facing. Clear, timely communication and follow-through are part of the job.
We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn't show what you built, it will not move forward.
Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.
Key Responsibilities
Lead End-to-End Solution Delivery
Own delivery end-to-end: requirements ? architecture ? design ? build ? test ? deployment
Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release
Architect AI Solutions
Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
Emphasize security, governance, and real-world usability over experimentation for its own sake
Develop Modern Data Platforms
Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
Deliver production-grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads
Leverage Automation & Power Platform (Bonus Skill)
Use Power Platform (Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value
Power Platform experience is a plus, not the primary focus
Collaborate Across Teams
Partner with engineers and business stakeholders to translate requirements into buildable designs
Coordinate with security and governance teams to ensure solutions meet best practices and client constraints
Client Engagement & Communication
Communicate architecture decisions - including tradeoffs - in plain language
Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change
Innovation & IP Development
Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality
Continuous Learning
Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions
Pre-Sales Support (As Needed)
Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on AzureClear evidence of personal ownership - you can explain what you built, why you chose it, and what you'd change next time
Azure & Data Expertise
Hands-on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric
Architecture Judgment
Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
Practical operational mindset (CI/CD and MLOps experience is a plus)
Problem-Solving & Adaptability
Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand-holding
Communication & Leadership
Strong client-facing communicator who can explain complex decisions clearly and lead technical direction confidently
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience Consulting or professional services background
Power Platform and Power BI experience
Microsoft Fabric and data governance familiarity
Azure DevOps, CI/CD, and infrastructure-as-code experience
Relevant Microsoft certifications
Python used in real production systems
Experience writing and maintaining code for data processing, automation, or model deployment
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