Senior Developer Advocate, Generative AI, AWS Developer Experience
Amazon.com
At AWS, we're looking for technical pioneers who are shaping the future of AI. As a Senior Developer Advocate on our Developer Experience team, you'll combine your software development expertise with your passion for building developer communities. This role offers a unique opportunity to influence how the next generation of AI applications are built, while working alongside the creators and innovators in this rapidly evolving space.
Our ideal candidate is someone who lives and breathes code, has a track record of building production generative AI applications, and brings fresh perspectives to complex technical challenges. You understand the transformative potential of foundation models and autonomous agents, and you're excited to help developers harness these technologies effectively.
Key job responsibilities
In this role, you'll drive technical initiatives that showcase the full potential of generative AI on AWS, from proof-of-concepts to production-ready solutions. You'll work with emerging standards and frameworks like Model Context Protocol (MCP), Agent2Agent (A2A) communication protocols, and Strands Agents to shape the future of AI application development. Your days might involve creating compelling technical demonstrations of autonomous agents using these technologies, building production-ready implementations with foundation models, or sharing deep technical insights through conference talks and live coding sessions. Through direct collaboration with engineering teams, you'll help shape both AWS AI services and the broader open-source AI ecosystem.
You'll be at the forefront of developing and sharing best practices for integrating advanced AI capabilities into robust, scalable applications, with a particular focus on autonomous and agentic systems. Through your hands-on development work and community engagement, you'll identify developer pain points, work cross-functionally to influence product roadmaps, and contribute to open source projects. Your technical content, whether it's code samples, architecture patterns, or implementation guides, will help developers build better AI applications.
A key aspect of this role is the opportunity to work with a broad range of partners. You'll collaborate with industry leaders like Anthropic, Meta, and others, showcasing how their technologies integrate with AWS services to create onnovative AI solutions. This exposure will allow you to stay at the leading edge of AI development across the industry and bring diverse perspectives to the developer community.
This role will require up to 25% travel (mostly within mainland USA).
About the team
We're a group of builders and innovators who are passionate about defining the future of software development. Our mission is to break new ground in how developers leverage generative AI, and to foster a vibrant community of practitioners who push the boundaries of what's possible on AWS. We believe in learning by doing, sharing our knowledge openly, and working closely with the developer community to solve real-world challenges.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Our ideal candidate is someone who lives and breathes code, has a track record of building production generative AI applications, and brings fresh perspectives to complex technical challenges. You understand the transformative potential of foundation models and autonomous agents, and you're excited to help developers harness these technologies effectively.
Key job responsibilities
In this role, you'll drive technical initiatives that showcase the full potential of generative AI on AWS, from proof-of-concepts to production-ready solutions. You'll work with emerging standards and frameworks like Model Context Protocol (MCP), Agent2Agent (A2A) communication protocols, and Strands Agents to shape the future of AI application development. Your days might involve creating compelling technical demonstrations of autonomous agents using these technologies, building production-ready implementations with foundation models, or sharing deep technical insights through conference talks and live coding sessions. Through direct collaboration with engineering teams, you'll help shape both AWS AI services and the broader open-source AI ecosystem.
You'll be at the forefront of developing and sharing best practices for integrating advanced AI capabilities into robust, scalable applications, with a particular focus on autonomous and agentic systems. Through your hands-on development work and community engagement, you'll identify developer pain points, work cross-functionally to influence product roadmaps, and contribute to open source projects. Your technical content, whether it's code samples, architecture patterns, or implementation guides, will help developers build better AI applications.
A key aspect of this role is the opportunity to work with a broad range of partners. You'll collaborate with industry leaders like Anthropic, Meta, and others, showcasing how their technologies integrate with AWS services to create onnovative AI solutions. This exposure will allow you to stay at the leading edge of AI development across the industry and bring diverse perspectives to the developer community.
This role will require up to 25% travel (mostly within mainland USA).
About the team
We're a group of builders and innovators who are passionate about defining the future of software development. Our mission is to break new ground in how developers leverage generative AI, and to foster a vibrant community of practitioners who push the boundaries of what's possible on AWS. We believe in learning by doing, sharing our knowledge openly, and working closely with the developer community to solve real-world challenges.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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