Amazon Sr Specialist SA Amazon Q 

Australia, New South Wales, Sydney 

762314167

WWSO IntroKey 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.A day in the life
About the teamThis position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ technologies with a focus on Amazon Q, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps.Diverse Experiences
AWS 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.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

- 7+ years design/implementation/consulting experience of distributed applications
- 5+ years management of technical, customer facing resources
- 5+ years of technical experience in Machine Learning, Artificial Intelligence, LLM, or GenAI
- Bachelor’s degree

- Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
- 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.
- Cloud expertise as demonstrated by one or more cloud certifications.
- Demonstrated ability to adapt to new technologies and learn quickly.
- 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.