Senior Solution Architect, GenAI, AWSI

Are you passionate about Generative AI (GenAI)? Interested in applying cutting-edge Generative AI solutions to solve real-world problems with significant impact?

The Customer Acceleration Team (CAT) at AWS is a strategic team that helps customers across a broad mix of industries develop solutions to solve critical business challenges.

As a Generative AI Solution Architect, you will partner with customers and other AWS teams to design and build some of the most scalable, flexible and resilient solutions that address customer GenAI use cases on AWS.

In this role, you will help shape and develop novel solutions to solve business challenges. 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.

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 roadmap

Travel will be mostly within the United States and occasionally international (EMEA). Travel is expected to be 15 - 30%.

A 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.

About the team

About AWS

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.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

About the team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

BASIC QUALIFICATIONS

• 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.

PREFERRED QUALIFICATIONS

• 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).
30+ days ago