At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Lead Engineer – AI Research, Innovation
eBay is seeking a dedicated, highly skilled, and technically hands-on Lead Engineer to join our AIRI division. This is a great opportunity to help lead a highly visible and strategically important AI engineering team at one of the most established and heavily trafficked ecommerce companies in the world.
In this role, you will serve as both a senior technical contributor and a technical leader, guiding a team of AI Engineers in the design, development, and deployment of scalable AI systems. You will help shape the technical direction of key AI initiatives, mentor engineers, drive architectural decisions, and partner closely with Product, Research, Data Engineering, and Software Engineering teams to deliver impactful AI-powered experiences across eBay.
About the Role
As a Lead AI Engineer, you will work across the full AI lifecycle: from early experimentation and prototyping to the production deployment of reliable, scalable, and responsible AI systems that support millions of users.
Your focus will include Generative AI systems, intelligent agents, conversational AI, and agent-based architectures. You will help define and implement the technical roadmap for AI initiatives while ensuring engineering excellence across the team.
This role requires a strong balance of hands-on technical depth and leadership ability. You will be expected to contribute directly to complex technical work while also guiding other Engineers, establishing guidelines, reviewing designs, and helping the team make sound technical decisions.
Our systems handle billions of requests per day, use large-scale GPU clusters, and power key intelligent experiences across the eBay platform.
Responsibilities
Lead the design, development, and optimization of scalable AI systems using Generative AI, LLMs, and agent-based architectures.
Provide technical leadership to a team of AI Engineers, helping guide architecture, implementation, delivery, and operational excellence.
Lead the development of agent-led user experiences, including systems that leverage task decomposition, memory, tool use, dynamic planning, and multi-agent orchestration.
Partner with Product, Research, Data Engineering, and Software Engineering teams to translate business and user needs into effective AI system designs.
Drive architectural decisions for AI-powered products and platforms, ensuring systems are reliable, maintainable, cost-effective, and production-ready.
Mentor and coach Engineers through design reviews, code reviews, technical planning, and hands-on problem solving.
Help advance eBay’s internal platform for GenAI applications by contributing reusable components, APIs, frameworks, patterns, and engineering guidelines.
Establish and promote guidelines for AI system evaluation, observability, model integration, experimentation, responsible AI, and production monitoring.
Monitor and optimize AI systems in production for latency, quality, scalability, reliability, cost efficiency, and responsible AI use.
Lead technical planning and execution for complex AI initiatives, helping the team break down ambiguous problems into clear engineering work.
Stay ahead of the latest advances in AI, machine learning, LLMs, AI agents, retrieval-augmented generation, and emerging tooling, and apply a practical lens when integrating new technologies into the product stack.
Drive continuous improvement across design, implementation, evaluation, deployment, and…
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