AI Solutions Engineer

Role: AI Engineer

Employment: Contract, 90 - 120 days

Location: In-office in Austin

Summary:
Lead a 90–120-day enterprise AI initiative for a regulated mortgage operation. Assess workflows, define an AI roadmap and governance framework, select tools and models, build and integrate 10–15 production-ready AI applications, and enable staff adoption. The role requires hands-on software engineering, LLM and RAG expertise, business-system integration, security awareness, documentation, measurement, and internal handoff. Work is in-office in Austin with potential for permanent transition.

The 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- 120-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.

Potential to transition into Permanent

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 - 120 days establishes the architecture, governance, and first wave of tools that the platform will grow from.

Responsibilities

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.

Compensation
$120 - $125 hourly