AI Solution Architect
Company: Origence
Location: Irvine
Posted on: April 1, 2026
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Job Description:
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. 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. 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, 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. What You?ll 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
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 Data Engineering & Pipeline Development 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 (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 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: Model Context Protocol & AI Integration Expertise 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 General Architecture & Design 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: 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 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 (PostgreSQL, SQL Server, MySQL),
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 (AWS, GCP) is advantageous but not
required Experience with MCP server architecture and protocol
implementation for AI systems Knowledge of data privacy regulations
(GDPR, CCPA) and Azure security best practices Previous experience
in consulting or client-facing technical roles Why you should
apply: Flexible Working Environment Paid Time Off 401k (8% match)
College Tuition Benefits/ Tuition Reimbursement Good Benefits
options Company 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 transparency. The 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,
candidate?s 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 company?s 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.
Keywords: Origence, Newport Beach , AI Solution Architect, IT / Software / Systems , Irvine, California
