Senior AI & ML Engineer/Architect Microsoft Fabric & Agentic AI

Senior AI & ML Engineer/Architect Microsoft Fabric & Agentic AI Remote:
Mandatory skills to look for in a profile -

• Agentic AI Architecture and development
• Microsoft Fabric
• Copilot Studio
• Azure AI Services

Interview Process
2 rounds of internal technical interviews
One client round (as of now)

Job Description
Role Overview
Build predictive and prescriptive ML models on Microsoft Fabric and the Agentic AI layer that turns their outputs and Power BI reports into actionable insights for store, district, and regional users via conversational agents, automated notifications, and intelligent workflows. This is a hands-on, end-to-end role spanning feature engineering on OneLake, model development and MLOps in Fabric Data Science, and agent build-out with the Fabric Data Agent, Copilot Studio, and Azure AI services.
Required Skills

• 8+ years in ML / data science, with models shipped to production.
• Applied depth in forecasting, recommendation, segmentation/cohort, and anomaly detection, with strong feature engineering.
• Hands-on Microsoft Fabric: Data Science & Data Engineering, OneLake/Lakehouse, Delta, and Power BI semantic models (Direct Lake).
• Agentic AI build experience: conversational agents, LLM orchestration, RAG, prompt engineering, and tool/function calling.
• Microsoft Fabric Experience
• Copilot Studio and Azure AI services / Azure AI Foundry (Agent Service).
• Strong Python and SQL
• Able to translate business problems into solutions while working directly with US-based stakeholders.

Preferred: Retail/commerce analytics Snowflake-to-OneLake mirroring and medallion layers Fabric Data Agent / multi-agent patterns Power BI/DAX Fabric, Azure AI Engineer, or Azure Data Scientist certifications.
Roles & Responsibilities

• Design, build, and deploy predictive and prescriptive ML models (forecasting, recommendation, cohort migration, discount-behavior, anomaly detection) in Fabric Data Science.
• Engineer curated, analytics-ready feature layers on OneLake from mirrored Snowflake data through Bronze/Silver/Gold Delta tables.
• Develop Agentic AI frameworks that consume ML outputs and Power BI data to generate conversational insights and recommendations.
• Build and publish agents with the Fabric Data Agent, Copilot Studio, and Azure AI services including business logic, thresholds, and country region store drill-down.
• Deliver level-specific outputs: focused actions for store managers, consolidated views for district/regional leaders via automated notifications and workflows.
• Implement MLOps in Fabric: model registry, versioning, monitoring, and retraining/feedback loops.
• Partner with business SMEs to standardize KPIs and metric definitions; ensure governance, security, and responsible-AI standards.