Amazon Senior ANZ GenAI / ML Specialist Solutions 

Australia, New South Wales, Sydney 

910639356

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as blogs and workshops for customers, partners, and the AWS Technical Field.Sales, Marketing and Global Services (SMGS)
Key job responsibilities
- Thought Leadership - Evangelize and share best practices through forums such as AWS blogs, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.A day in the lifeDiverse 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.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Deep knowledge of Generative AI & ML services and solutions (e.g. Amazon SageMaker, Amazon Bedrock, Amazon Q) and their architecture and infrastructure needs

- Technical communication skills; able to bridge the gap between business outcomes and technical requirements
- Familiarity with Machine Learning, Agentic, and Generative AI, and how they are used for modern data solutions
- Cloud expertise as demonstrated by one or more cloud certifications, with GenAI & ML related discipline highly preferred