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Senior Solutions Architect
2 months ago
We are seeking a highly skilled Senior Solutions Architect - GTM Specialist to join our Amazon Bedrock, Startups team at Amazon Web Services, Inc. - A97. As a key member of our team, you will be responsible for helping startups scale quickly and cost-effectively on AWS.
Key Responsibilities- Interact with CxO/VP level executives, 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.
- Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plans.
- 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.
- 7+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree
- 5+ years management of technical, customer facing resources
- 5+ years of technical experience in Machine Learning, Artificial Intelligence, LLM, or GenAI
- 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.
