Amazon Senior Solutions Architect Data Analytics AI Specialist Team 

Canada, Ontario, Toronto 

446762960

In this role, you'll design and architect scalable, secure, and cost-effective solutions using AWS's comprehensive Analytics and AI/ML stack. You'll serve as a technical thought leader, providing expert consultation to customers and fellow Solution Architects while creating valuable technical content including white papers, reference architectures, blogs, and implementation guides. Your expertise will be crucial in helping customers navigate complex cloud migrations while optimizing for their specific mission requirements.Key job responsibilities
• Be a subject matter expert on AWS Analytics and AI services for our Account teams and customers.
• Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.
• Provide advanced technical knowledge to unblock our customers’ largest and most critical business challenges.
• You will have the technical depth and business experience to deploy data and AI strategies.
• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Partner with other Specialist teams to define the technical components of best in class GTM concepts, solutions, and initiatives.
• Create field enablement materials for the broader SA population, to help them understand how to integrate data and AI solutions into customer architectures.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- 8+ years of specific technology domain areas (e.g. data warehouse, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in analytics and AI experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience across the Data and Analytics specialty
- Experience working with end user or developer communities