AI Solution Architect

About Origence 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 Were deeply committed to enhancing the financial ecosystem for a broad network of credit unions members and auto dealers We invest in our greatest assets our employees and foster a culture of innovation and ownership through freedom and responsibility We celebrate fiscal accountability operational rigor and efficiency to create a sustainably healthy and robust business for the long term 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 You operate as an owner and work with a growth mindset You are extremely productive on your own and act as a multiplier collaborating with others You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business Your focus is strong and capable of context switching and pivoting with the business In the vacuum of leadership you assume it 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 This role requires a unique blend of data engineering expertise AIML knowledge and API development skills to create comprehensive solutions that span from data ingestion to AI powered business intelligence with a strong focus on Microsofts unified analytics and AI platform What Youll Be Doing Solution Design & Architecture Design comprehensive AI solution architectures that integrate multiple data sources SQL databases MongoDB APIs file systems Salesforce Dynamics 365 into cohesive generative AI applicationsCreate technical blueprints for data flow processing pipelines and AI model integration across the full technology stackEstablish best practices for scalable secure and maintainable AI solution architectures leveraging Microsoft Fabric and Azure AI Foundry or similar technologiesDefine integration patterns and standards for connecting disparate data sources to AI workflowsData Engineering & Pipeline Development Architect end to end data solutions using Microsoft Fabrics unified data platformDesign and implement data pipelines using Fabric Data Factory and integrate with external systemsLeverage Fabrics OneLake architecture for seamless data integration across all workloadsImplement real time analytics using Fabrics Real Time Analytics and Event Streams capabilitiesOptimize data storage and processing using Fabrics Delta Lake and data mesh principlesAIML Integration & Development Design and develop MCP Model Context Protocol servers to enable seamless AI model communication and context sharingDesign and deploy generative AI solutions using Azure AI Foundrys model catalog and deployment capabilitiesImplement RAG Retrieval Augmented Generation architectures leveraging Microsoft Fabrics unified data platform and MCP serversImplement vector search and semantic capabilities within the Microsoft Fabric ecosystemAPI Development & Business Intelligence Integration Develop robust APIs and microservices that expose AI functionality through standardized MCP interfacesDesign and implement RESTful and GraphQL APIs for AI model inference data retrieval and MCP server communicationBuild Power BI reports and dashboards that leverage AI generated insights and predictions from MCP enabled systemsImplement monitoring logging and observability for AI APIs MCP servers and data servicesTechnical Leadership & Collaboration Collaborate with data scientists engineers and business stakeholders to translate requirements into technical solutionsProvide technical guidance and mentorship to development teamsLead proof of concept initiatives and pilot AI implementationsStay current with emerging AI technologies and evaluate their applicability to business needs The Ideal Candidate Education Bachelors degree preferred or commensurate experienceExperience Model Context Protocol & AI Integration Expertise 2 years of experience with Model Context Protocol MCP server development and implementationUnderstanding of MCP architecture context management and multi agent AI systemsExperience building custom MCP servers for enterprise data source integrationKnowledge of MCP best practices for AI model communication and context sharingAzure AI Foundry & Microsoft Fabric Expertise 3 years of hands on experience with Microsoft Fabrics integrated analytics platformExpert knowledge of Azure AI Foundry for AI application lifecycle managementDeep understanding of Fabric workspaces compute engines and cross workspace collaborationExperience with Fabrics security model data governance and compliance featuresProven expertise in Fabric Data Factory Power BI integration and Real Time AnalyticsGeneral Architecture & Design 5 years of solution architecture experience with enterprise scale cloud implementationsUnderstanding of modern data architecture patterns including data mesh lakehouse and medallion architectureExperience with OneLake and delta table optimization for large scale analytics workloadsExperience with microservices architecture API design and distributed systemsKnowledge of data modeling schema design and database optimizationAIML Expertise 3 years of hands on experience with Machine Learning Neural Networks generative AI LLMs and Azure AI FoundryProficiency with Azure AI Foundrys prompt flow model evaluation and deployment capabilitiesExperience with MCP server integration in AI workflows and multi agent systemsExperience with responsible AI practices content safety and AI governance within the Microsoft ecosystemUnderstanding of fine tuning prompt engineering and model optimization techniquesSpecialized Skills Microsoft AI & Analytics Platform Expert level proficiency with Azure AI Foundry Microsoft Fabric Data Factory Real Time Analytics Power BI Synapse Azure OpenAI Service and Azure Cognitive ServicesModel Context Protocol MCP Expert knowledge in developing and implementing MCP servers for AI model integration context management and multi agent systemsData Technologies Expert experience with SQL databases PostgreSQL SQL Server MySQL MongoDB NoSQL databases and modern data engineering workflowsEnterprise Integrations Hands on experience with Salesforce APIs Dynamics 365 CRMERP data extraction Microsoft Graph APIs and Azure Active DirectoryDevelopment & APIs Strong skills in Python C Java for enterprise APIs microservices RESTGraphQL and MCP protocol implementationBusiness Intelligence Expert level Power BI experience including custom connectors DAX Power Query and advanced reportingPreferred Qualifications PhD in Computer Science Data Science or related technical fieldCross cloud platform knowledge AWS GCP is advantageous but not requiredExperience with MCP server architecture and protocol implementation for AI systemsKnowledge of data privacy regulations GDPR CCPA and Azure security best practicesPrevious experience in consulting or client facing technical rolesWhy you should apply Flexible Working EnvironmentPaid Time Off401k 8 matchCollege Tuition Benefits Tuition ReimbursementGood Benefits optionsCompany Culture Cultural and Holiday celebrations Theme days like Star Wars Day & Bring your Kids to Work Day Monthly Townhalls and Quarterly Company Meetings that ensure awareness inclusion and transparencyThe starting salary range for this full time position in Irvine CA is 147900 184900 per year This base pay will take into consideration internal equity candidates geographic region job related knowledge and experience among other factors Origence maintains a highly competitive compensation program Under company guidelines this position is eligible for an annual bonus to provide an incentive to achieve targeted goals Bonuses are awarded at companys discretion on an individual basis 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 individuals 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