Amazon GenAI Solutions Architect Startups Specialists AWS EMEA 

United Kingdom, England, London 

44358560

In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to produce cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.Key job responsibilities
• As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
• You operate as a trusted advisor for startups. The best interests of the customer will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners’ technology.
• You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
• Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly-scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.
About AWS:Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Why AWS
Work/Life BalanceMentorship and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
- Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
- Knowledge of MLOps tools and workflows for model development, validation, and deployment.
- High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.

- Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking.
- Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing