Role: AI Solutions Architect (AI Forward Deployed Engineer)Employment: Contract, 90-dayLocation: Preferred Hybrid in Austin, TXThe Opportunity:Efinity Mortgage is a growing mortgage lending operation preparing to scale production without scaling headcount at the same rate. We are launching a Digital Workforce Initiative: a focused, 90-day effort to stand up a secure enterprise AI strategy and to build and deploy high-impact automation across our departments: underwriting, processing, compliance, finance, recruiting, marketing, and executive management.We are looking for a hands-on Contract AI Solutions Architect to lead this initiative end-to-end - from assessment and architecture through to building production-ready tools and enabling our staff to use them. We want a builder who can pair strategic thinking with working software inside a regulated mortgage environment.--The Mission:The goal is not simply to deploy AI tools. The goal is to create a digital workforce that augments our people across underwriting, processing, compliance, finance, recruiting, marketing, and executive management - increasing capacity and quality while reducing manual effort and vendor dependence. Over the long term, this initiative lays the foundation for an internal "Efinity AI" platform: a durable, owned capability rather than a collection of disconnected point solutions. Your work in these 90 days establishes the architecture, governance, and first wave of tools that the platform will grow from.--Compensation:$120 - $125 hourlyResponsibilities:Scope of Work: Assess--Conduct an AI opportunity assessment across departments, prioritizing by impact, feasibility, and risk.--Map current workflows, systems, and data sources, including key vendor platforms in use today.--Identify the highest-leverage automation candidates and sequence them into a build plan.--Architect--Define an enterprise AI roadmap that connects near-term wins to the long-term Efinity AI platform vision.--Establish a security and governance framework appropriate for a regulated mortgage operation (data handling, access control, model usage policies, auditability, and vendor risk).--Select the model, tooling, and integration approach, balancing capability, cost, and control.--Build--Develop 10-15 production-ready AI tools targeting the prioritized opportunities.--Integrate tools into existing systems and workflows so they fit how staff actually work.--Build for maintainability and handoff - documented, supportable, and owned internally after the engagement.--Enable--Create a staff training and adoption plan, and lead hands-on enablement for the teams using each tool.--Define how success is measured and instrument the tools so impact can be tracked over time.--Hand off documentation, architecture decisions, and a forward roadmap to internal owners.--Key Deliverables--An enterprise AI roadmap aligned to the long-term Efinity AI platform vision.--A security and governance framework suitable for a regulated mortgage operation.--A prioritized AI opportunity assessment across departments.--10-15 production-ready AI tools, integrated and documented.--A staff training and adoption plan, with hands-on enablement delivered.--A clean internal handoff: documentation, architecture decisions, and a forward roadmap.--Qualifications:Who We're Looking For:Proven experience designing and shipping AI/LLM-powered tools in production - not just prototypes or proofs of concept.--Strong software engineering fundamentals: ability to build, integrate, and deploy working applications independently.--Hands-on experience with modern AI platforms and APIs, retrieval/RAG patterns, prompt and workflow design, and AI tool orchestration.--Experience integrating with existing business systems (CRMs, document platforms, internal databases, reporting tools).A working understanding of AI governance, data security, and privacy - and the judgment to apply it in a regulated environment.--The ability to translate between executive strategy and technical execution, and to drive an initiative with minimal oversight.Availability for a hybrid arrangement based in Austin, TX, including regular on-site presence.--About CompanyCandidates should be prepared to sign a confidentiality/non-disclosure agreement and to work within Efinity Mortgage's data security policies.--
#WHRE2Compensation details: 120-125 Hourly WagePI0a24d62bf315-25660-41434357