Amazon Software Development Manager Conversational AI Modeling Learning 

Canada, Ontario, Old Toronto 

380207535

Key job responsibilities- 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- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards- Lead hiring and development of diverse technical talent
- Drive operational excellence in deploying and maintaining large-scale ML systems- Champion best practices in ML engineering, including experimentation, testing, and monitoringA day in the life
Your typical day might involve:Reviewing progress on ongoing projects and providing technical guidanceBrainstorming new approaches to improve our AI models' performanceAnalyzing data to identify opportunities for model optimizationParticipating in research discussions to stay current with the latest AI advancements

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers