FAQs
What type of experience is required for this position?
Candidates should have 8+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, and data & analytics, along with 3+ years of design, implementation, or consulting experience in applications and infrastructures.
Is knowledge of SAP systems important for this role?
Yes, having knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, and SAP Business Objects) and their architecture and infrastructure needs is preferred.
What is the primary focus of this role within AWS?
The primary focus is to define, build, and deploy targeted strategies to accelerate customer adoption of generative AI services and solutions across various industry verticals.
Will I be working with customers directly in this position?
Yes, you will interact directly with customers to understand their business problems and help define and implement scalable generative AI solutions.
What is the importance of having a technical background for this role?
A strong technical background is essential to drive engagements, articulate the potential and challenges of generative AI models to engineering teams and C-Level executives, and facilitate the enablement of AWS technical teams.
What kind of teams will I be collaborating with in this role?
You will collaborate with engineering teams, account teams, research scientists, product teams, as well as sales, marketing, business development, and professional services teams within AWS.
What kind of solutions will I be helping to develop?
You will help develop cloud-based solutions that enable customer adoption of generative AI workloads on AWS, including features like model training, inference, and performance evaluations.
Is experience in ML frameworks important for this role?
Yes, familiarity with ML frameworks such as PyTorch, JAX, MLOps, and knowledge of related computing infrastructure is crucial for success in this position.
How does AWS promote work-life balance?
AWS values work-life harmony and strives for flexibility as part of its working culture, ensuring that success at work does not come at the expense of personal time.
Is diversity valued in the workplace culture at AWS?
Yes, Amazon values diverse experiences and fosters a culture of inclusion, empowering employees to be proud of their differences and encouraging applications from individuals with varied backgrounds.