AI Data Engineer

About the Role

We are seeking an AI Data Engineer 1 to help modernize Azure hardware planning, roadmap management, and reporting through AI-driven solutions, workflow automation, and Power BI dashboards. The ideal candidate will have hands-on experience implementing generative AI solutions to improve operational efficiency, integrating data across multiple enterprise platforms, and developing interactive dashboards that replace manual reporting processes. This role will focus on streamlining workflows across SharePoint, Azure DevOps (ADO), Excel, and enterprise databases to improve data accessibility, accuracy, and decision-making. Candidates must be able to work in the PST time zone.

Key Responsibilities

• Contribute to AI-enabled transformation of Azure hardware planning and reporting.
• Build practical generative AI and automation solutions that reduce manual work.
• Develop interactive Power BI dashboards that improve enterprise visibility and decision-making.
• Gain exposure to Microsoft Azure business operations, enterprise data integration, and AI-driven workflows.

Requirements & Tech Stack

• Azure OpenAI
• Copilot Studio
• AI Builder
• Microsoft 365 Copilot
• Power BI
• DAX
• Power Query (M)
• Azure DevOps
• REST APIs
• Power Automate
• SharePoint Online
• Excel
• SQL
• Python
• Microsoft Azure

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
• Experience in data engineering, business intelligence, analytics, or workflow automation.
• Demonstrated experience implementing AI solutions to improve workflows or operational efficiency.
• Hands-on experience building production generative AI solutions.
• Strong Power BI expertise, including:
• Data modeling and dashboard development
• DAX and Power Query (M)
• Data refresh and deployment
• Row-level security (RLS)
• Experience with Azure DevOps queries, Analytics/OData, and REST APIs.
• Experience with Power Automate, SharePoint Online, and advanced Excel.
• Strong SQL and Python skills for data processing, integration, and automation.
• Excellent communication skills and the ability to translate business needs into practical technical solutions.
• Candidates must be able to work in the PST time zone.

Preferred Qualifications

• Experience with hardware planning, supply chain, product roadmaps, or portfolio management data.
• Experience optimizing AI workloads or implementing AI solutions in enterprise environments.
• Familiarity with Microsoft Fabric, Dataverse, or Kusto Query Language (KQL).
• Experience with Power Platform application lifecycle management (ALM) and Git.
• Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI.
• Previous Microsoft experience is a plus.

Interview Process

• Candidates will participate in one interview round.
• Live demonstration required: Candidates must be prepared to demonstrate a previous project in which they implemented AI to improve workflow or operational efficiency.
• The demonstration must not include confidential employer, client, or customer information.

Salary Range

• $150,000 - $155,000 annually.