Teams at Walker & Dunlop

Own end-to-end AI and platform initiatives, designing scalable applications, agentic workflows, and reusable AI capabilities for loan origination and servicing. Build and operate production LLM systems, model routing, MCP tools, agent handoffs, evaluation frameworks, guardrails, and observability. Establish platform patterns, improve reliability, make technical trade-offs independently, and mentor engineers. The role requires deep Python and backend expertise, SQL proficiency, and experience with modern agent frameworks, RAG, model evaluation, and domain-driven architecture.

As an Engineering Manager, lead a cross-functional software engineering team, manage projects, guide technical strategy, and ensure high-quality software delivery.

Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.