Principal Engineer (Ecommerce, AEM, AI, React)

Principal Engineer (Ecommerce, AEM, AI, React)

Location

CAN BE REMOTE DURING THE CONTRACTING PEROID, BUT ONCE THEY CONVERT, THEY MUST BE ONSITE.

Type

6 month contract to hire

Notes

• Serve as the technical visionary and senior individual contributor responsible for shaping the end-to-end architecture, standards, and long-term roadmap of our digital commerce platform.
• This is not a people management role; it is a technical leadership role of the highest caliber, where your influence will be felt across every engineering team, every layer of the stack, and every customer interaction on our platform.
• The most important requirement is strong AI tooling experience; they use Claude and that is highly desired.
• Must be well-rounded with front end & backend technologies, ecommerce and mobile/app development and architecture.
• Needs to have built B2C solutions
• Current environment - micro-frontend architecture that blends React-based Single Page Applications (SPAs) with Adobe Experience Manager (AEM) headful pages, backed by a modern Node.js/Java API layer, GraphQL federation, and cloud-native infrastructure on AWS
• Any CMS exp would be fine
• You will help with embedding AI-assisted development into our everyday practices, evaluating and standardizing AI tooling, and setting the example for what high-velocity, AI-augmented engineering looks like at scale.
• 10+ years of software engineering experience with demonstrated depth across both frontend and backend disciplines.
• Proven track record as a technical leader and senior individual contributor and setting standards, driving architecture, and influencing across teams without direct management authority.

Expert-level knowledge of modern frontend technologies

React, Next.js, micro frontend architecture, SPAs, and component-driven design.

• Deep experience with Adobe Experience Manager (AEM) including headful/headless integration patterns, Editable Templates, component authoring, and frontend/AEM interoperability.
• Hands-on experience designing and implementing production-grade agentic AI solutions including autonomous agents, multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), tool-integrated reasoning workflows, and retrieval-augmented generation (RAG) pipelines with demonstrated ability to take agentic systems from proof-of-concept through scalable production deployment.