Alexa for Shopping (previously Rufus) is seeking a Senior Manager, Applied Science to lead multidisciplinary teams of Applied Scientists and Machine Learning Engineers building next- conversational AI and multi-agent systems powering customer-facing experiences at scale.
This leader will drive both scientific innovation and execution across large models (LLMs), agent orchestration, retrieval and grounding systems, evaluation frameworks, and scalable AI infrastructure. The role requires a combination of deep technical judgment, organizational leadership, product and engineering partnership, and operational excellence.
The ideal candidate has a strong track record of building high-performing science and engineering teams, translating ambiguous business problems into scalable AI solutions, and delivering measurable customer impact through applied machine learning and generative AI technologies.
Key job responsibilities
- Lead and grow teams of Applied Scientists and Machine Learning Engineers working on conversational AI and multi-agent orchestration systems.
- Define and drive technical strategy for large-scale generative AI systems, including LLM routing, prompting, grounding, memory, tool use, personalization, and response optimization.
- Partner closely with Product, Engineering, and Tech leadership to align AI investments with long-term business and customer goals.
- Drive end-to-end delivery of production AI systems balancing quality, latency, scalability, safety, and operational reliability.
- Establish scientific and engineering best practices across experimentation, evaluation, model iteration, and production deployment.
- Lead roadmap prioritization and execution across research innovation and product delivery timelines.
- Build scalable evaluation methodologies and quality frameworks for multilingual and global customer experiences.
- Mentor and develop technical leaders across both science and engineering disciplines.
- Foster a high-performance culture centered on customer obsession, innovation, operational excellence, and strong cross-functional collaboration.