Amazon Senior Solution Architect GenAI AWSI 

United States, Texas, Dallas 

312457438

Key job responsibilities
• Partner in designing, building and migrating applications, software, and services on the AWS platform.
• Interact with customers directly to understand business challenges, help and aid them in implementation of their ML ecosystem
• Educate customers on the value proposition of AWS and showcase the art of possible.
• 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.
• Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
• Capture and share best-practice knowledge amongst the AWS solutions architect community.
• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmapA day in the life
The ideal candidate:
• Has deep expertise in AI/ML (specifically Generative AI).
• Has prior experience working as a Solution Architect.
• Is deeply technical and keeps their technical skills honed.
• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).
• Communicates efficiently and effectively with both technical and non-technical audiences
• Is great fun to work with.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- 5+ years of design, implementation, or consulting experience in AI/ML (1+ in Generative AI specifically).
- Bachelor’s degree in Computer Science, Engineering or related field of study or 12+ years of related work experience.

- Masters or PhD degree in computer science, or related STEM field
.
- Strong working knowledge of deep learning, machine learning and statistics.
- 5+ Years of experience working with Machine Learning and Data Science communities.
- 3+ years of experience working with AWS ML technologies.
- Strong working knowledge of deep learning, machine learning and statistics
.
- Strong communication and data presentation skills
.
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
- Deep knowledge of software development tools and methodologies and active, hands-on coding and AI/ML application design experience.
- Ability to demonstrate body of work and influence (e.g. public repos, public speaking, Open-Source contributions or similar).Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.