Architect, Full Stack, Agentic AI Research & Prototyping (North America Remote)

Jaggaer•Durham, NC

13d•Remote

About The Position

Overview JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries. Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. For more information, visit www.jaggaer.com This is not a typical developer role—it’s an architecturally influential position for a seasoned engineer ready to help shape enterprise AI through rapid prototyping and agentic frameworks. You will partner with JAGGAER’s Chief Data & AI Office (CDAO) to design and test cutting-edge AI-driven workflows that redefine how enterprises engage with procurement. Your work will translate big ideas into working prototypes—bridging theory with hands-on engineering. If your experience is primarily feature development or you are looking for a first exposure to AI tools, this role will be overwhelming. But if you have spent a decade-plus building and scaling systems end-to-end, experimenting with new frameworks, and influencing architectural direction, you’ll thrive here. Principal Responsibilities Position Responsibilities: AI-Driven Prototyping & Experimentation: Rapidly build proof-of-concepts integrating Java-based backends, frontends, and LLM/AI tooling. Experiment with agentic AI frameworks (LangGraph, AutoGen, CrewAI, LangChain) to validate novel enterprise use cases. Full-Stack Engineering Leadership: Architect scalable APIs and services in Java (Spring Boot, Micronaut, or Quarkus). Model and optimize SQL/NoSQL data structures (PostgreSQL, MongoDB, Redis, Cassandra) for embeddings, vector search, and AI-driven workflows. Develop intuitive UIs in React, Angular, or Vue to test agent-based interactions. Cross-Functional Collaboration: Partner with architects and ML engineers to assess emerging frameworks and productionize the best candidates. Translate architectural hypotheses into working code, providing evidence for future platform direction.

Requirements

12+ years full-stack development experience with clear evidence of senior-level ownership.
Expert-level proficiency in Java (Spring Boot, Micronaut, Quarkus).
Strong database expertise—design, scaling, performance optimization.
Frontend proficiency with React, Angular, or Vue; demonstrated sensitivity to UX.
Proven experience building and deploying cloud-native solutions (AWS, Azure, or GCP).
Exposure to AI/LLM tools: vector databases (Pinecone, Weaviate), embeddings, and orchestration frameworks.
Rigorous standards for performance, testing, maintainability, and security.
Degree in Computer Science or related field (Master’s preferred).

Nice To Haves

Hands-on contributions to open-source projects or published prototypes.
Prior experience building prototypes that directly influenced platform roadmaps.
Deep passion for AI, emerging technologies, and building what hasn’t been built before.

Responsibilities

AI-Driven Prototyping & Experimentation: Rapidly build proof-of-concepts integrating Java-based backends, frontends, and LLM/AI tooling.
Experiment with agentic AI frameworks (LangGraph, AutoGen, CrewAI, LangChain) to validate novel enterprise use cases.
Full-Stack Engineering Leadership: Architect scalable APIs and services in Java (Spring Boot, Micronaut, or Quarkus).
Model and optimize SQL/NoSQL data structures (PostgreSQL, MongoDB, Redis, Cassandra) for embeddings, vector search, and AI-driven workflows.
Develop intuitive UIs in React, Angular, or Vue to test agent-based interactions.
Cross-Functional Collaboration: Partner with architects and ML engineers to assess emerging frameworks and productionize the best candidates.
Translate architectural hypotheses into working code, providing evidence for future platform direction.