FAQs
What will be my primary responsibilities in this role?
Your primary responsibilities will include developing cloud-based solutions for GenAI, driving customer engagement, facilitating enablement for AWS technical community, and collaborating with engineering, account teams, research scientists, and product teams to implement scalable GenAI solutions.
What experience is required for this position?
The ideal candidate should have experience in software development, cloud computing, systems engineering, or similar technology domains, as well as experience in design, implementation, or consulting for applications and infrastructures.
What technology stack will I be working with?
You will work with a deep stack that includes compute infrastructure like Amazon EC2 and Lustre, ML frameworks such as PyTorch and JAX, orchestration layers like Kubernetes, and parallel computing frameworks like NCCL and MPI.
Is knowledge of specific SAP systems required for this job?
While knowledge of SAP systems and their architecture can be beneficial, it is not explicitly required. However, experience in infrastructure architecture, database architecture, and networking is expected.
Will I be working directly with customers?
Yes, you will be working directly with important customers to understand their business problems and help them define and implement scalable GenAI solutions.
How important are soft skills for this role?
Soft skills are very important, as you will need to effectively communicate and partner with various teams and interact at high levels with customers and executives.
What is the team structure like for this position?
You will be part of the Foundation Models team within AWS, specializing in computational workloads, performance evaluations, and optimization, collaborating closely with engineering teams and other stakeholders.
Does Amazon support diversity in the workplace?
Yes, Amazon values diverse experiences and actively fosters an inclusive team culture that empowers employees to embrace their differences.
What opportunities are there for career growth?
Amazon provides endless knowledge-sharing and mentorship resources to help you develop your skills and advance your career.
What is the work-life balance commitment at AWS?
AWS values work-life harmony and strives for flexibility within its working culture, believing that success at work should not come at the expense of personal life.