AI Solution Architect
Role details
Job location
Tech stack
Job description
We are seeking an experienced AI Solution Architect to design and deliver end-to-end generative AI solutions that transform raw data from diverse enterprise sources into intelligent, actionable business applications.
What You'll Be Doing:
- Design comprehensive AI solution architectures that integrate multiple data sources into cohesive generative AI applications
- Create technical blueprints for data flow, processing pipelines, and AI model integration across the full technology stack
- Establish best practices for scalable, secure, and maintainable AI solution architectures leveraging Microsoft Fabric and Azure AI Foundry
- Define integration patterns and standards for connecting disparate data sources to AI workflows
- Architect end-to-end data solutions using Microsoft Fabric's unified data platform
- Design and implement data pipelines using Fabric Data Factory and integrate with external systems
- Leverage Fabric's OneLake architecture for seamless data integration across all workloads
- Implement Real Time analytics using Fabric's Real-Time Analytics and Event Streams capabilities
- Optimize data storage and processing using Fabric's Delta Lake and data mesh principles
AI/ML Integration & Development
- Design and develop MCP Servers to enable seamless AI model communication and context sharing
- Design and deploy generative AI solutions using Azure AI Foundry's model catalog and deployment capabilities
- Implement RAG architectures leveraging Microsoft Fabric's unified data platform and MCP servers
- Implement vector search and semantic capabilities within the Microsoft Fabric ecosystem
API Development & Business Intelligence Integration
- Develop robust APIs and microservices that expose AI functionality through standardized MCP interfaces
- Design and implement RESTful and GraphQL APIs for AI model inference, data retrieval, and MCP server communication
- Build Power BI reports and dashboards that leverage AI-generated insights and predictions from MCP-enabled systems
- Implement monitoring, logging, and observability for AI APIs, MCP servers, and data services
Technical Leadership & Collaboration
- Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
- Provide technical guidance and mentorship to development teams
- Lead proof-of-concept initiatives and pilot AI implementations
- Stay current with emerging AI technologies and evaluate their applicability to business needs
Requirements
You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving., * Bachelor's degree preferred or commensurate experience.
Experience:
- 2+ years of experience with Model Context Protocol (MCP) server development and implementation
- Understanding of MCP architecture, context management, and multi-agent AI systems
- Experience building custom MCP Servers for enterprise data source integration
- Knowledge of MCP best practices for AI model communication and context sharing
Azure AI Foundry & Microsoft Fabric Expertise
- 3+ years of hands-on experience with Microsoft Fabric's integrated analytics platform
- Expert knowledge of Azure AI Foundry for AI application lifecycle management
- Deep understanding of Fabric workspaces, compute engines, and cross-workspace collaboration
- Experience with Fabric's security model, data governance, and compliance features
- Proven expertise in Fabric Data Factory, Power BI integration, and Real-Time Analytics
- 5+ years of solution architecture experience with enterprise-scale cloud implementations
- Understanding of modern data architecture patterns including data mesh, lakehouse, and medallion architecture
- Experience with OneLake and delta table optimization for large-scale analytics workloads
- Experience with microservices architecture, API design, and distributed systems
- Knowledge of data modeling, schema design, and database optimization
AI/ML Expertise
- 3+ years of hands-on experience with Machine Learning, Neural Networks, generative AI, LLMs, and Azure AI Foundry
- Proficiency with Azure AI Foundry's prompt flow, model evaluation, and deployment capabilities
- Experience with MCP server integration in AI workflows and multi-agent systems
- Experience with responsible AI practices, content safety, and AI governance within the Microsoft ecosystem
- Understanding of fine-tuning, prompt engineering, and model optimization techniques
Specialized Skills:
- Expert-level proficiency with Azure AI Foundry, Microsoft Fabric, Azure OpenAI Service, and Azure Cognitive Services
- Model Context Protocol (MCP): Expert knowledge in developing and implementing MCP Servers for AI model integration, context management, and multi-agent systems
- Data Technologies: Expert experience with SQL databases, MongoDB, NoSQL databases, and modern data engineering workflows
- Enterprise Integrations: Hands-on experience with Salesforce APIs, Dynamics 365, CRM/ERP data extraction, Microsoft Graph APIs, and Azure Active Directory
- Development & APIs: Strong skills in Python, C#, Java for enterprise APIs, microservices, REST/GraphQL, and MCP protocol implementation
- Business Intelligence: Expert-level Power BI experience including custom connectors, DAX, Power Query, and advanced reporting, * PhD in Computer Science, Data Science, or related technical field
- Cross-cloud platform knowledge is advantageous but not required
- Experience with MCP server architecture and protocol implementation for AI systems
- Knowledge of data privacy regulations and Azure security best practices
- Previous experience in consulting or client-facing technical roles
Benefits & conditions
What We Offer:
- Paid Time Off
- 401k (8% match)
- College Tuition Benefits/Tuition Reimbursement
- Good Benefits options
- Company Culture