GenAI Solutions Architect, Startups Specialists, AWS EMEA
Job ID: 2634494 | AWS EMEA SARL (UK Branch) - F93
Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and AWS, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.
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 be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers. This is a team dedicated to Startups, a critically important and growing subset of customers for AWS. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
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 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).
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. 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. The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build and scale their businesses. from fresh graduates to ex-CTOs, all growing our skills and startup expertise, while working on cutting edge technology use-cases with some of the world’s most innovative companies.
About AWS:
AWS values diverse experiences. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. 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 flexible work hours and arrangements are part of our culture. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship 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.
- 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
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#