About the job
AI Engineers in AWS AI Engineering help customers build and use AI agents to transform how work gets done. You will 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.
Responsibilities
As a key member of the account team, 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.
Qualifications
Minimum
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Preferred
Knowledge of distributed systems design and implementation or equivalent
Knowledge of large scale automation and workflow management or equivalent
Knowledge of database design and implementation or equivalent
Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
Experience architecting, migrating, transforming or modernizing customer requirements to the cloud