AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Do you have a builder’s mentality where “show me” means more than “tell me”? Are you passionate about Generative AI (GenAI), understand cloud architectures & platforms, and quick to pick up emerging technologies? Are you adept at working with Customers to experiment with innovative approaches and the validate the technical feasibility of solutions?
Generative AI is rapidly growing in importance. We’re seeing more and more amazing GenAI work being done from AI-beings APP and intelligence customer service chatbot to operational data analysis, code generation and multimodal implementations. Given the scale required for developing GenAI/Agentic workloads, the cloud is an ideal place to build them, and Amazon Web Services is the leader in this market. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.

• Key job responsibilities
• As a Generative AI Specialist Solutions Architect (SSA) , you will be the Subject Matter Expert (SME) for designing GenAI solutions that leverage AWS services. As part of the WWSO, you will work closely with cross teams to enable large-scale customer use cases and drive the adoption of AWS services.
• You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS AI solutions into customer architectures.
• You must have deep technical experience working with technologies related to LLM and agentic AI solutions. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the GenAI space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
• Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from developers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.

About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

Basic Qualifications

• 5+ years of technical specialist, design and architecture experience, or degree in advanced technology
• 5+ years of building machine learning models or developing algorithms for business application experience

Preferred Qualifications

• Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience in Database like NoSQL, or experience in Hive/Spark/Hbase/Yarn and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.