Forward Deployed Agent Builder
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, 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 FinTech 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.
Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.
WE ARE:
An AI-first FinTech 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.
YOU ARE:
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.
YOUR DAY-TO-DAY:
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Partner with business and product teams to frame complex problems and translate requirements into agent workflows, tools, and data architectures
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Design and build agent workflows using LangChain and LangGraph, including multi-agent architectures such as ReAct and supervisor models
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Architect and implement end-to-end RAG pipelines using Copilot, integrating with vector databases including Pinecone, Qdrant, Weaviate, and pgvector
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Build and optimize short-term and long-term memory systems, managing context handling and continuity across agent interactions
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Integrate agents into enterprise systems via APIs, MCP, and platform connectors
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Develop business application agents using Copilot Studio, Power Automate, and Power Apps, with integrations into Microsoft Graph, Teams, and SharePoint
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Design intuitive, usable AI experiences with a strong product and UX mindset
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Optimize agent performance for latency, cost, and accuracy; apply observability and evaluation tools to measure and improve outcomes
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Communicate solutions clearly to both technical and non-technical stakeholders
YOU'LL BRING:
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Hands-on experience with agent frameworks, including LangChain and LangGraph
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Proficiency designing and implementing multi-agent systems and architectures
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Experience building RAG pipelines and working with vector databases
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Strong API integration skills and familiarity with enterprise systems
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Comfort with observability and evaluation tooling for AI systems
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Excellent communication skills and a product design sensibility
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Experience with Copilot Studio and the Microsoft Power Platform (preferred)
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Familiarity with MCP and Skills-based agent architectures (preferred)
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Experience with AI-assisted coding tools such as Cursor or Claude (preferred)
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Forward-deployed or solution engineering background (preferred)
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AI-enabled tools a