Minimum Requirements :
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of design, implementation, or consulting experience in AI / ML (1+ in Generative AI specifically)
- Experience contributing to the system design (architecture, design patterns, reliability and scaling) of new and current GenAI systems.
Are you passionate about Generative AI (GenAI)? Interested in applying cutting-edge Generative AI solutions to solve real-world problems with significant impact?
The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS is a strategic team that helps some of AWS’s largest customers develop solutions using AWS, partner and open source software across the analytics, GenAI, database and storage domains.
As a GenAI Solution Architect, you will partner with customers and other AWS teams to help customers design, build and deploy GenAI models to power applications and use cases for some of AWS’s largest and most innovative customers.
You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with other AWS analytics, database and compute services.
AWS works with a number of GenAI model producers, you will be working directly with them around model performance evaluations, developing demos and proof-of-concepts.
In this role, you will help shape, advance, as well as learn new technologies and develop novel solutions to solve business challenges.
Your solutions will explore the art of the possible with Generative AI. You will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q along with other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 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.
Key job responsibilities :
- Ensure success 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 roadmap.
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. Often helps teach new skills to others.
- Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).
- Thrives in ambiguous situations and can bring focus and help deliver results.
- Communicates efficiently and effectively with both technical and non-technical audiences.
- Is great fun to work with.
Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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