AI Solution Architect

Origence is always looking for diverse, talented people to join our exceptional team. Current job opportunities are posted here as they become available. With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. About you 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. 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 The Ideal Candidate: Education: 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 Preferred Qualifications: 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 What We Offer: Paid Time Off 401k (8% match) College Tuition Benefits/Tuition Reimbursement Good Benefits options Company Culture Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individual's qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.

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