AI Application / Microsoft Fabric Analytics Architect

• Location: Minnetonka Mills, MN
• Duration: 6 months
• Role: AI Application / Microsoft Fabric Analytics Architect
• Experience Required: 8+ years
• Primary Domain: Microsoft Fabric / AI / Power BI / React

Must-Have Technical/Functional Skills

• 8+ years of experience in:
  • Software Engineering
  • Analytics
  • Business Intelligence
  • AI Application Development
• Hands-on experience with Microsoft Fabric, including:
  • OneLake
  • Fabric Lakehouse
  • Fabric Warehouse
  • Power BI Semantic Models
  • Power BI Embedded
• Working knowledge of Fabric IQ, including:
  • Ontologies
  • Business entities
  • Relationships
  • Graph-based context
  • Agent-ready semantic layers
• Strong experience developing modern web applications using:
  • React 18.x / 19.x
  • TypeScript
  • JavaScript
  • Reusable UI components
  • REST APIs
• Experience developing AI-led reports and AI-embedded analytics.
• Experience implementing:
  • Natural-language interaction
  • Automated narratives
  • Anomaly detection and explanations
  • Trend analysis
  • Recommendations
  • Conversational analytics
• Hands-on experience with Azure OpenAI or comparable LLM services.
• Strong knowledge of:
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
  • AI Evaluation
• Strong understanding of:
  • Report discovery
  • Persona and use-case analysis
  • KPI definition
  • Data lineage
  • Semantic modeling
  • Report rationalization
• Ability to rapidly prototype 2–3 high-value AI-powered reports.
• Ability to convert discovery findings into:
  • Epics
  • Features
  • User Stories
  • Acceptance Criteria
  • Estimates
  • Dependencies
  • Prioritized Backlogs
• Experience defining reusable:
  • Architecture patterns
  • Report templates
  • React components
  • Prompt libraries
  • Semantic models
  • Governance controls
• Strong SQL skills.
• Proficiency in Python or C# is preferred.
• Experience integrating structured and unstructured enterprise data is desirable.
• Excellent facilitation, stakeholder management, communication, and storytelling skills.

Roles & Responsibilities

• Lead discovery workshops with business, product, data, UX, security, and technology stakeholders.
• Understand:
  • Existing reports
  • Business decisions supported
  • User journeys
  • Pain points
  • KPIs
  • Data sources
  • Regulatory constraints
• Assess the existing reporting landscape.
• Classify reports for:
  • Modernization
  • Consolidation
  • Redesign
  • Reuse
  • Retirement
• Evaluate reports based on business value, complexity, risk, and usage.
• Select and develop an initial set of 2–3 representative AI-powered report prototypes.
• Design AI-led reports that proactively surface:
  • Insights
  • Drivers
  • Trends
  • Exceptions
  • Contextual narratives
  • Recommended next actions
• Build AI-embedded reporting experiences using React and Power BI Embedded.
• Implement:
  • Conversational interfaces
  • Natural-language exploration
  • Guided analysis
  • Explainable insights
  • Role-aware experiences
• Develop and align Fabric IQ ontologies and Power BI semantic models.
• Define business entities, relationships, definitions, rules, and actions.
• Ensure reports and AI agents use consistent enterprise context.
• Integrate enterprise data from:
  • Microsoft Fabric
  • APIs
  • Lakehouse
  • Warehouse
  • Operational systems
  • Documents
  • Approved knowledge sources
• Maintain appropriate security, governance, and data lineage.
• Validate prototypes with end users through demonstrations and structured feedback.
• Document:
  • Business outcomes
  • Functional gaps
  • Technical constraints
  • Adoption considerations
  • Lessons learned
• Translate discovery and prototype findings into a delivery-ready backlog.
• Define:
  • Epics
  • Capabilities
  • Features
  • User Stories
  • Acceptance Criteria
  • Technical Enablers
  • Non-functional Requirements
  • Dependencies
  • Risks
  • Prioritization
• Define a scalable roadmap for expanding from initial prototypes to an approximately 3,000-report estate.
• Establish:
  • Delivery waves
  • Report archetypes
  • Reusable accelerators
  • Automation opportunities
  • Quality gates
  • Governance
• Establish development standards for:
  • React components
  • Embedded analytics
  • Prompts
  • Semantic models
  • AI evaluation
  • Accessibility
  • Observability
  • Testing
  • Deployment
  • Responsible AI
• Collaborate with Product Owners and delivery teams on planning, estimation, release sequencing, sprint execution, demos, documentation, and knowledge transfer.
• Measure outcomes including:
  • User adoption
  • Decision-cycle improvement
  • Report consolidation
  • Insight quality
  • Response accuracy
  • Performance
  • Reuse of common assets

AI / GenAI Skills

• Azure OpenAI
• Large Language Models (LLMs)
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Semantic Search
• AI Evaluation
• Conversational AI
• Natural Language Analytics
• AI-Powered Reporting
• AI Agents
• Fabric IQ
• Agent-ready Semantic Layers

Microsoft Fabric / Analytics Skills

• Microsoft Fabric
• OneLake
• Fabric Lakehouse
• Fabric Warehouse
• Power BI
• Power BI Semantic Models
• Power BI Embedded
• Fabric IQ
• Data Lineage
• Semantic Modeling
• KPI Definition
• Report Rationalization
• Enterprise Reporting

Front-End / Application Development Skills

• React 18.x / 19.x
• TypeScript
• JavaScript
• Reusable UI Components
• REST APIs
• AI-Embedded Web Applications
• Conversational Interfaces
• Role-Based User Experiences

Data / Programming Skills

• SQL
• Python
• C#
• Structured Data
• Unstructured Data
• Enterprise Data Integration
• APIs
• Data Warehouses
• Data Lakes

Architecture & Governance

• Enterprise Architecture
• Reusable Architecture Patterns
• Report Templates
• React Component Libraries
• Prompt Libraries
• Semantic Models
• AI Governance
• Responsible AI
• Security
• Accessibility
• Observability
• Testing
• Deployment Standards

Soft Skills

• Excellent communication skills.
• Strong stakeholder management.
• Strong workshop facilitation skills.
• Executive-level storytelling and presentation skills.
• Cross-functional collaboration.
• Strong analytical and problem-solving abilities.
• Ability to translate technical concepts into business outcomes.
• Strong documentation and knowledge-transfer skills.

Key Search Keywords

• Microsoft Fabric
• Fabric IQ
• OneLake
• Power BI Embedded
• Power BI Semantic Model
• Azure OpenAI
• Generative AI
• AI Analytics
• AI-Led Reporting
• React
• TypeScript
• JavaScript
• RAG
• Prompt Engineering
• Semantic Search
• AI Evaluation
• REST APIs
• SQL
• Lakehouse
• Fabric Warehouse
• AI Application Development
• Conversational Analytics
• AI Agents