Software Development Manager, Conversational AI Modeling and Learning

The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDM to lead a high-performing team of MLEs/SDEs building industry-leading, Generative AI (GenAI) powered conversational assistant capabilities using latest techniques like pre-training (PT), supervised fine tuning (SFT), reinforcement learning (RL) and various prompt optimization techniques.

In this role, you will be responsible for leading the development of high performance, low latency, innovative modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

Key job responsibilities
Key job responsibilities
- Lead and grow a team of ML/software engineers, providing technical mentorship and career development while fostering an inclusive and collaborative environment
- Own the technical strategy and roadmap for key platforms and software needed for developing, evaluating and deploying large language models required for building conversational agents
- Drive architectural decisions and technical excellence in building scalable ML pipelines and frameworks
- Partner with product, science, and platform teams to define and execute on the team’s technical vision
- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards
- Build mechanisms to measure and improve the customer impact of our ML systems
- Lead hiring and development of diverse technical talent
- Drive operational excellence in deploying and maintaining large-scale ML systems
- Influence cross-team technical decisions and contribute to broader organizational strategy
- Champion best practices in ML engineering, including experimentation, testing, and monitoring

About the team
Join our CAMEL team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.