AI Solution Architect
Listed on 2025-12-02
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IT/Tech
AI Engineer, Data Engineer, Machine Learning/ ML Engineer, Data Science Manager
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. We're 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.
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, AI/ML knowledge, and API development skills to create comprehensive solutions that span from data ingestion to AI-powered business intelligence, with a strong focus on Microsoft's unified analytics and AI platform.
WhatYou’ll Be Doing
- Design comprehensive AI solution architectures that integrate multiple data sources (SQL databases, Mongo
DB, APIs, file systems, Salesforce, Dynamics 365) 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, or similar technologies.
- 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 One Lake 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
- Design and develop MCP (Model Context Protocol) 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 (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers
- Implement vector search and semantic capabilities within the Microsoft Fabric ecosystem
- Develop robust APIs and microservices that expose AI functionality through standardized MCP interfaces
- Design and implement RESTful and Graph
QL 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
- Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
- Provide technical guidance and mentorship to development teams
- Lead…
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