Amazon Senior Solutions Architect - GenAI 

Canada, Ontario, Toronto 

397635092

The Role
You will design and develop Generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
About the team
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. 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
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).

- 3+ years of technology/software sales experience
- Experience working with end user or developer communities
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience working with AWS ML technologies