Principal Solutions Architect , AI Engineering

Key job responsibilities

• Partner with customers to ensure their long-term success by helping them harness the power of AWS services to accelerate their business.
• Formulate and execute a cloud adoption strategy that delights our customers and builds strong relationships that lead to strategic revenue streams that exceed AWS objectives.
• Become a trusted advisor by gaining deep knowledge of AWS services, design patterns and best practices, and sharing that knowledge with clients, other SAs and the wider AWS builder community.
• Work with other SAs to develop reusable solutions to common business and architectural problems.
• Educate customers by leading workshops and hands-on classes to demonstrate how to use AWS services.
• Network and build deep relationships with senior technical individuals within customer organizations to enable them to be cloud advocates.
• Author and contribute to AWS customer-facing publications such as whitepapers, blog posts and open source projects, and speak at public events.
• Help hire, on-board and train new SAs via mentorship and builder programs.
• Become an expert in driving AI coding tool adoption across software development teams, and have deep expertise across the entire software development lifecycle.

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.