Amazon Specialist Solutions Architect Efficient Compute AWS WWSO Specialists 

United Kingdom, England, London 

771886252

**This role requires 40%- 50% of travel to AWS office and customer sites. It is subject to change by Amazon until further notice**Key job responsibilities
* Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
* Become a trusted advisor within customer accounts through Technical Thought Leadership.
* Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
* Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

- Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity and familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
- Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- Advanced degree highly preferred such as engineering, computer science, or MIS a plus. Cloud expertise as demonstrated by one or more cloud certifications and demonstrated ability to adapt to new technologies and learn quickly.