Responsibilities:
Apply your deep expertise in GenAI prompt engineering, user experience design, data management and architecture to accelerate the development of innovative scalable end user productivity solutions that leverage GenAI.
Develop and lead others in developing reusable GenAI assets (including prompt libraries, design artifacts and use case starter kits) that help AGS Tech builders select the right GenAI architectures for their customer use cases.
Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summits, AWS re: Invent, Tech Summits.
Partner with Sales, Tech and Services teams across AWS to prioritize the solutions that will accelerate customer adoption of GenAI services.
Benchmark continuously to elevate the innovation, quality and delivery speed of solutions.
Identify and implement opportunities to integrate TAS open source approaches into AGS tech and AWS cross organization operating model.
About the Team:
AGS TAS is a worldwide team with members located in Europe, UKI, LATAM and the US. Our mission is to empower AGS builders and AWS customers to achieve greater business value from AWS cloud with less effort.
Qualifications:
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
Bachelor's degree in computer science, engineering, mathematics or equivalent.
Experience developing technology solutions and evangelizing 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.
Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation with IaC.
Knowledge of distributed systems design and implementation or equivalent.
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
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.
Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
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.
Compensation:
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,500/year in our lowest geographic market up to $284,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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