Forward Deployed Agent Builder; Remote

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in Fin Tech, we’ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a Fin Tech holding company with three business segments:
Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.

We are currently hiring a Forward Deployed Agent Builder to work directly with our business and product teams to design, build, and deploy AI agents that solve real-world workflows. This role sits at the intersection of agent engineering, product thinking, and stakeholder communication — translating complex business problems into intelligent, scalable AI solutions. You will play a critical role in accelerating our AI-first strategy by delivering agents that create immediate and measurable impact across the organization.

PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

An AI-first Fin Tech organization on a mission to make everyday purchases accessible through innovative lease-to-own solutions. We move fast, think big, and build with purpose. Our teams are empowered to experiment and deploy intelligent systems that create real value — from customer-facing products to internal operations. We believe the future of work is agentic, and we are actively building it.

A builder who thrives at the intersection of business and technology. You are equally comfortable whiteboarding a workflow with a product manager and writing production-grade agent code. You have deep hands‑on experience with agent frameworks and multi‑agent architectures, and you know how to design AI experiences that people actually want to use. You communicate clearly, move quickly, and care about outcomes over outputs.

• Partner with business and product teams to frame complex problems and translate requirements into agent workflows, tools, and data architectures
• Design and build agent workflows using Lang Chain and Lang Graph, including multi-agent architectures such as ReAct and supervisor models
• Architect and implement end-to-end RAG pipelines using Copilot, integrating with vector databases including Pinecone, Qdrant, Weaviate, and pgvector
• Build and optimize short-term and long-term memory systems, managing context handling and continuity across agent interactions
• Integrate agents into enterprise systems via APIs, MCP, and platform connectors
• Develop business application agents using Copilot Studio, Power Automate, and Power Apps, with integrations into Microsoft Graph, Teams, and Share Point
• Design intuitive, usable AI experiences with a strong product and UX mindset
• Optimize agent performance for latency, cost, and accuracy; apply observability and evaluation tools to measure and improve outcomes
• Communicate solutions clearly to both technical and non-technical stakeholders

• Hands-on experience with agent frameworks, including Lang Chain and Lang Graph
• Proficiency designing and implementing multi-agent systems and architectures
• Experience building RAG pipelines and working with vector databases
• Strong API integration skills and familiarity with enterprise systems
• Comfort with observability and evaluation tooling for AI systems
• Excellent communication skills and a product design sensibility
• Experience with Copilot Studio and the Microsoft Power Platform (preferred)
• Familiarity with MCP and Skills-based agent architectures (preferred)
• Experience with…