Generative Ai Specialist Sa

5 months ago


London, United Kingdom AWS EMEA SARL (UK Branch) Full time

Bachelor’s degree in technical discipline with technical design/implementation/ consulting experience and experience working with Generative AI Foundation models
- Developing, negotiating and executing business agreements experience and experience developing strategies that influence leadership decisions at the organizational level
- Business development, product management, management consulting, and strategic partnership experience and experience developing and executing on GTM strategies that are large in scope.
- AWS Certification (e.g. AWS Solution Architect Associate/Professional)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small

This Generative AI Specialist Solution Architect role, within the newly formed EMEA Generative AI team, is to help drive & accelerate exponential Generative AI growth with EMEA customers by having deep data science knowledge, being able to leverage AWS tools, services and data science techniques to drive customer growth through Generative AI workloads and AWS GenAI revenue. You will be part of a pan-EMEA Generative AI team that will partner with EMEA wide field teams and specialists to amplify & roll out best practises & signals from customers. This will be done through a number of channels including accelerating POCs to production, engaging with customers via EBCs/Summits and helping to create an EMEA Generative AI center of excellence.

Key job responsibilities
- Effectively use LLMs available to meet our customer's performance needs and accelerate customer opportuniites
- Partner with EMEA field teams and specialists to unblock large impact customer opportunities
- Thought Leadership through creation of use cases and demos unique to customers based on internal and external customer profiles
- Advance organisational capabilities through a number of channels including, but not limited to, the creation of Generative AI apps to enhance internal tooling, creation of enablement content etc
- Engage with customers via EBCs and summits to play back EMEA GenAI trends, industry use cases and the art of the possible (Center of Excellence)
- Contribute towards resolution of weekly blockers/challenges from the field as they are raised through the EMEA GenAI WBR and other channels

About the team
About AWS
Diverse Experiences

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team 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 & 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.

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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

London, GBR
- Experience interpreting data and making business recommendations
- Hands-on working knowledge of deep learning and other ML algorithms and infrastructure.
- Pre-sales engineering, technical business development, strategic partnerships, or program/product management experience
- Experience speaking at technology conferences, as well as communicating across the organization from technical staff to VP/CxOs.
- Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.



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