Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud.

AWS AI Engineering team works with customers to build and use AI agents to transform how work gets done. You will work with AWS customers to design and productionize agentic systems using services like Amazon Bedrock and AgentCore, contribute to open-source AI accelerators, and help customers adopt AI-native software development practices.

The role splits roughly 50/50 between direct customer executive engagements and building leverage through reusable assets, open source, and thought leadership. In customer work, you will partner with leadership of software development teams to leverage AI coding tools like Kiro, Claude Code on Bedrock, and Codex on Bedrock. You'll work hands-on to unblock adoption and ensure solutions are secure, reliable, and cost-effective. In your building time, you will create reference implementations, contribute to open-source projects, and develop content that enables the broader community. You will work closely with AWS service teams to close the loop between what customers need and what AWS builds.

This is a global role within the Solutions Architect organization. You will maintain deep relationships with AI service teams and collaborate with specialists across regions to stay current on capabilities and influence roadmaps.

Position requires about 30% Travel

Key job responsibilities
- Own strategic AI-focused customer engagements from kick-off through delivery, applying Working Backwards methodology to define solution requirements, success criteria, and scope
- Facilitate AI Engineering solution design and agentic architecture patterns, adoption of AI-driven development tools & methods to accelerate delivery
- Partner with Global Sales and Solutions Architecture teams to identify and qualify Generative AI and Agentic AI opportunities
- Build and maintain relationships with customer executives and AWS leadership through structured communications, operational reviews, and clear reporting on AI outcomes and business impact
- Establish engagement metrics, track delivery velocity, and contribute to program-level KPIs that measure success
- Develop and implement processes that improve team efficiency, prototype delivery speed, and knowledge sharing across AWS
- Proactively identify risks specific to AI implementations and develop mitigation strategies to ensure successful outcomes
- Apply product thinking to ensure AI prototypes are designed with responsible AI practices, production readiness, and long-term customer value

About the team
AI Engineering is a global team within the Solutions Architect organization focused on helping customers build and use AI agents. We operate at the frontier of AI, bridging foundation models and production systems through direct customer engagements, open-source accelerators, and close collaboration with AWS service teams. We split time between hands-on customer work and creating assets that scale. The role combines engineering, advisory work, and product influence. We maintain high standards while operating with speed, and we stay grounded in customer outcomes. Built for tinkerers who ship production code and thrive in ambiguity.

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.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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) 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.