Director - AI Platform Engineering

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.

Director, AI Platform Development

About the Role

Join eBay as we develop a next-generation AI platform for intelligent marketplace experiences! We are seeking a Director of AI Platform Engineering to lead the infrastructure, services, and developer experiences that enable large-scale AI development and production deployment. This is an outstanding opportunity to build an ambitious AI platform that powers our global e-commerce engine.

You will drive the strategy for core capabilities spanning LLM inference, GPU infrastructure, MLOps, and agentic platforms. This role requires a proven technical leader who can scale engineering teams and collaborate with Research, Product, and Infrastructure partners.

Key Responsibilities

• Lead teams building production-grade LLM inference and serving platforms, including capacity planning, runtime optimization, benchmarking, release engineering, reliability, and cost efficiency.
• Build and scale an agentic AI platform that enables teams to develop, deploy, monitor, and govern AI agents, multi-agent workflows, tool-calling systems, retrieval-augmented generation patterns, orchestration frameworks, and human-in-the-loop experiences.
• Lead development of MLOps and AI control plane services, including model management, experiment tracking, metadata, deployment workflows, approval gates, APIs, SDKs, and self-service developer experiences.
• Drive platform reliability and operational excellence through SLOs, observability, incident response, postmortems, production readiness reviews, automation, and capacity planning.
• Hire, mentor, and grow a multidisciplinary engineering organization across AI infrastructure, platform services, MLOps, agentic systems, developer experience, and production operations.

Qualifications

• 10+ years overall experience with 5+ years of engineering leadership experience, including managing managers and/or leading multiple engineering teams.
• Strong understanding of AI/ML platform architecture, including training, experimentation, model management, deployment, inference, observability, and developer workflows.
• Familiarity with LLM inference, RAG systems, model serving runtimes, latency and efficiency optimization, evaluation, safety, and monitoring.
• Ability to translate ambiguous business and research needs into clear platform strategy, technical roadmaps, operating models, and measurable execution plans.
• Excellent communication skills, with the ability to influence senior technical, product, and executive collaborators.

Preferred Qualifications

• Experience supporting both training and inference workloads across on-premise and cloud-based GPU environments.
• Experience with technologies like Ray/KubeRay, vLLM, PyTorch, TensorRT, SGLang, MLflow, JupyterHub or equivalent technologies is a plus.

Additional Details

The base pay range for this position is expected in the range below:
$240,800 - $321,500

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at View email address on click.appcast.io. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guideline.