Sr. MTS, AI Platform
eBay
- Location
- Bengaluru, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 314 approvals (FY2023)
- Posted
- Sep 16, 2026
Skills
About this role
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. About the team and the role: We are seeking a highly skilled and expert Senior Architect to lead the design, development, and optimization of our innovative AI Platform. We need the highest levels of technical talent and programming skills, as well as a keen desire to deeply understand our products and services to push our technology forward. You’ll work alongside the most creative engineering talent in the industry across the globe. As the Senior Architect, you will work closely with engineering teams, data scientists, and business partners to design systems that support high-performance model training, deployment, and monitoring. You will also drive the adoption of best and standard processes to ensure the platform's reliability, scalability, and cost-effectiveness. What you will accomplish: Design and implement robust, scalable and secure systems for the eBay AI Platform, supporting all stages of development of an AI application, including data preparation, model training, model serving, experimentation, observability. Evaluate emerging technologies and frameworks to enhance platform capabilities. Lead efforts to integrate tools and methods to optimize performance and cost efficiency. Mentor and coach engineers at all levels, supporting their professional development and helping grow the technical capability of the team. Collaborate with senior technical leaders across various domains to ensure architecture alignment, module reuse, performance optimization, data consistency, and high availability of AI solutions. Develop a culture of engineering excellence by driving efficiency, velocity, quality, and innovation within the team, and lead initiatives to modernize the technology stack when advantageous. Actively participate in the software development process by investigating issues, writing high-quality code, performing rigorous code reviews, and prototyping innovative solutions.
What you will bring
PhD or MS in Computer Science, Electrical Engineering or related field. 8+ years of experience in software engineering specializing in large-scale, high-performance distributed systems. Proven experience in designing and architecting sophisticated systems at scale, with expertise in distributed systems, microservices, and event-driven architectures. Strong programming skills in Python, Java or Go, with experience in frameworks like TensorFlow, PyTorch. Experience with or understanding of some of the following technologies: Docker, Kubernetes, Spark, Hadoop, Kafka, MLflow, Airflow, Kubeflow, Nvidia Triton, Nvidia TensorRT, vLLM, Ray.io Strong skills in scalability and performance tuning for high-volume, critical applications, ensuring robust and resilient AI frameworks. Demonstrated proficiency in applying autonomous AI coding agents to speed up software delivery pipelines. This includes advanced prompting and careful human-in-the-loop code review to improve development speed and code accuracy. Experience leading multi-functional projects, providing strategic technical leadership, and influencing the direction of engineering practices across an organization. Consistent track record of leading and participating in effort estimation for sophisticated projects, ensuring that project timelines and resources align with business