Interested in joining Amazon Bedrock and building large-scale, high-throughput distributed systems for Machine Learning and Generative AI for large enterprises? Our team's mission is to develop cutting-edge generative AI technologies and systems that revolutionize how businesses operate. We continuously work on adding new services to our portfolio, addressing real-world challenges through research, innovation, and scalable solutions for enterprise customers.

In this role, you'll be part of a strategic team building a family of enterprise-grade AI products with visibility at the highest levels of AWS leadership. You'll have the opportunity to build and launch new AI services from the ground up, improve existing offerings, learn the state-of-the-art in AI technologies, and work closely with an exceptional group of product, engineering, and science leaders. While an ML background is preferred, it's not required, as we value diverse perspectives and skills in building large-scale, enterprise-ready AI systems.

Key job responsibilities
We are looking for a Sr. Software Development Engineer (SDE) with experience building secure, scalable solutions that delight customers. As a foundational member of the team, you will be responsible for driving the team’s long-term vision and architecture, drive/shape roadmaps, and provide technical leadership to the engineering team.

The ideal candidate will have extensive design and architecture experience, knowledge of AWS technologies and services, and a proven track record of building mission critical, highly scalable systems. In addition to strong technical knowledge, you will be someone who thrives in a fast paced start up-like environment, and passionate about solving ambiguous, challenging problems that have not been solved before.

As an SDE on the team, you will:
- Design and implement high-throughput, low-latency fault tolerant distributed system architectures to support the training, serving, and scaling of complex generative AI models.
- Build relationships with product managers, ML scientists, development managers and engineers across various AWS service teams.
- Participate in agile project management methodologies to provide technical leadership and project management for all aspects of the software development lifecycle (SDLC).
- Participate in hiring, mentoring and developing world-class engineers within and outside of the team, sharing your expertise and best practices.
- Ensure high quality design reviews which meet business and architectural goals and drive critical feedback on architecture and design issues.
- Spearhead best practices that enable a quality product and maintain high standards.
- Participate in strategic planning to achieve technical and business goals with team, leadership chain, and with customers.
- Stay up-to-date with the latest advancements in distributed systems, cloud infrastructure, and generative AI technologies