Senior SaaS / AI Architect Needed to Review Mortgage CRM & LOS Prototype

I’m looking for a highly experienced Senior SaaS Architect, AI Product Architect, or Technical Product Consultant to review a working mortgage software prototype and create a clear roadmap for turning it into a secure, production-ready SaaS platform. This first phase is primarily a paid technical review and architecture engagement, not a full build. The right person may later lead or advise the development team. About the Platform I’ve built a working prototype using Lovable for a modern mortgage operating system. The goal is to give loan officers and front-end sales teams one platform instead of making them switch between multiple systems. The platform is intended to include: -Lead CRM -Loan management -Full 1003 URLA -Borrower intake and document collection -Calling, SMS, email and calendar -AI SMS agents -AI loan officer assistants -AI lender-guideline and program matching -AI document review and data extraction -AI-generated follow-ups, summaries and next actions -Credit integration -AUS integration -Loan pricing integration -Conditions management -MISMO 3.4 XML export -Mobile application -Multi-company SaaS architecture -Monthly per-seat subscriptions AI will be a major part of the platform. Some AI features may use outside providers such as OpenAI, Anthropic or specialized mortgage vendors, while other AI workflows may be created directly within our system. What I Need Reviewed I need someone who can review the prototype and advise on: -What parts of the Lovable prototype can remain -What should be rebuilt for production -Recommended frontend, backend and database stack -Multi-tenant SaaS architecture -Security and role-based permissions -API and webhook architecture -Real-time calling and messaging architecture -Native mobile app requirements -Mortgage data and MISMO architecture -Lodasoft and lender-system integrations -AI architecture and model strategy -Which AI features should be built internally -Which AI features should use third-party APIs -Retrieval-augmented generation for lender guidelines -Structured lender-parameter and eligibility rules -AI document extraction and analysis -AI conversation memory and context management -Prompt and model versioning -AI accuracy, citations and hallucination controls -Human review and approval workflows -AI usage tracking and cost controls -Data privacy and sensitive borrower information -Scalability, reliability and technical risks -Estimated timeline, team size and budget -Key AI Features Being Considered The platform may eventually include: -AI SMS lead qualification -AI voice and call assistance -AI-generated conversation summaries -AI recommended next actions -AI follow-up drafting -AI processor handoff summaries -AI underwriting-condition explanations -AI document classification and extraction -AI comparison of documents against the URLA -AI lender-guideline search -AI loan-program matching -AI identification of missing qualification information -AI lender and program comparisons -AI exception-request drafting -AI employee coaching and performance insights -Company-specific AI knowledge bases The system must clearly distinguish between: -AI recommendations -Verified guideline facts -Rules-based eligibility checks -Pricing results -Final underwriting decisions -Deliverables The selected consultant should provide: -Technical audit of the current prototype -Written architecture recommendations -Recommended technology stack -AI architecture plan -Build-versus-integrate recommendations -Multi-tenant database plan -API and integration strategy -Security and compliance recommendations -Mobile and VoIP strategy -Mortgage data and MISMO strategy -Phased roadmap from MVP to production SaaS -Development team recommendations -Estimated timeline -Estimated development budget -Major technical risks -Recommended next steps -Required Experience Strong experience with several of the following is required: -Enterprise SaaS platforms -AI-powered applications -CRM or workflow systems -Multi-tenant architecture -FinTech or mortgage technology -API-heavy platforms -Document processing -RAG and vector-search systems -LLM integrations -Twilio, Telnyx, RingCentral or VoIP -Secure cloud infrastructure -React, Next.js, Node.js or Python -Mobile applications -Role-based permissions and audit logging Mortgage, lending, LOS, MISMO, AUS or credit-integration experience is a major advantage. To Apply Please include: 1. Examples of complex SaaS or AI platforms you have architected or built. 2. Your exact role on those projects. 3. Your experience with AI agents, RAG, document processing or LLM integrations. 4. Any mortgage, lending, banking or FinTech experience. 5. What parts of this system you would likely build internally versus integrate. 6. Your recommended technology stack and why. 7. Your proposed process for reviewing the prototype. 8. Your estimated cost for the initial architecture and roadmap phase. This is expected to become a large long-term platform. The right person may remain involved as the technical architect, advisor or development lead.