AI Mortgage Operations Solutions Engineer

Overview

We are seeking an AI Mortgage Operations Solutions Engineer to work directly with Consumer Direct Mortgage Fulfillment and LOS operations leadership to rapidly design, configure, develop, test, and deploy AI-enabled workflow solutions that improve operational efficiency, quality, consistency, visibility, and scalability. This role will operate in a business-embedded model, partnering closely with fulfillment leaders, LOS operations leaders, process owners, operational SMEs, training, risk, compliance, information security, product, and technology teams to identify high-value workflow opportunities and quickly translate them into usable solutions.

The ideal candidate combines lending-domain fluency with strong hands-on software engineering skills, an AI-first mindset, workflow automation experience, and the ability to deliver rapid prototypes that can mature into controlled production capabilities.

The role should apply a platform-first delivery approach. The engineer should prioritize approved LOS-native workflow automation, agentic task configuration, permissioning, rules, document handling, integrations, and operational control capabilities before pursuing custom development. Where native capabilities are insufficient, the engineer will design and build lightweight tools, APIs, integrations, dashboards, and utilities that extend the mortgage operations technology ecosystem while remaining aligned with approved architecture, information security, compliance, governance, SDLC, and production support standards.

This role is expected to move quickly, but not casually. The successful candidate must be able to deliver practical solutions with governed speed: rapid delivery inside approved information security, data privacy, architecture, compliance, model governance, auditability, change management, and production support rails.

This is a business-embedded engineering role. The individual will work closely with Consumer Direct Fulfillment and LOS operations leaders to observe workflow friction, clarify business needs, prototype solutions, validate them with users, and mature successful concepts into production-ready capabilities. The engineer should be comfortable working in a forward-deployed model where requirements may begin as business problems, workflow observations, operational bottlenecks, or SME feedback rather than fully documented specifications.

The role requires strong judgment across multiple solution paths:

• Native platform configuration
• Deterministic workflow automation
• AI-assisted agentic workflow
• Human-in-the-loop review
• Custom software development
• API or event-based integration
• Reporting, dashboarding, or operational monitoring
• Lightweight utilities or internal tools

The engineer should first evaluate whether approved LOS-native workflow and automation capabilities can meet the need. Custom development should be used when native capabilities are unavailable, insufficient, inefficient, or unable to meet user experience, integration, control, scalability, reporting, or supportability requirements.

• Partner directly with Consumer Direct Mortgage Fulfillment and LOS operations leaders to understand workflows, pain points, capacity constraints, quality issues, exception patterns, manual handoffs, and opportunities for AI-enabled automation.
• Operate in a forward-deployed model, rapidly converting business requirements, process observations, and SME feedback into working prototypes, pilot solutions, and production-ready capabilities.
• Evaluate whether each workflow should be solved through deterministic automation, AI-assisted agentic workflow, human review, custom software development, or a hybrid approach.
• Prioritize approved LOS-native workflow, automation, agentic task, permissioning, rules, document handling, and integration capabilities before building external solutions.
• Design, configure, develop, test, and deploy AI-enabled task flows that combine deterministic automation, AI-assisted interpretation, human review, escalation routing, audit trails, and operational monitoring.
• Define agentic workflow objectives, entry criteria, completion criteria, required evidence, blocking conditions, permission boundaries, escalation paths, human approval points, test cases, rollout criteria, and success measures.
• Configure or support configuration of workflow personas, role-based permissions, document access, loan-data access, integration authorizations, and least-privilege controls where platform-native capabilities are used.
• Translate business requirements into functional solution designs, including workflows, prompts, tools, data inputs, decision logic, user interaction patterns, permission models, audit requirements, and escalation paths.
• Develop custom applications, APIs, workflow utilities, dashboards, integrations, and lightweight services when approved native platform capabilities are not sufficient to meet the business need.
• Integrate AI-enabled solutions with approved enterprise…