Sr. AI/ML Prototyping Solutions Architect, AWS Specialist Prototyping Team Full-time

Do you have a builder’s mentality where “show me” means more than “tell me”? Are you passionate about technology, understand cloud architectures & platforms, and quick to pick up emerging technologies? Are you adept at working with Customers to experiment with innovative approaches and validate the technical feasibility of solutions?

Core to Amazon’s DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. This experimentation fuels Amazon’s innovation. The role of the Prototyping Solutions Architect will apply these methods to assemble and build prototypes with leading customers around the world. You’ll work closely with AWS Sales Teams and AWS Service Developers to partner with customers to solve hard problems. AWS is seeking a Senior technical professional with real world AI/ML expertise and experience to join the AWS Specialist Prototyping team to support our rapidly growing and dynamic business.

Key job responsibilities

+ Work with AWS Prototyping engagement managers, solutions architects, customers, and partners to qualify and scope strategic AI/ML prototyping use cases

+ Architect, design, develop and build working AI/ML prototypes with customers

+ Extract best-practice knowledge, reference architectures, and patterns from engagements to promote re-use with the worldwide AWS community

+ Share insights and lessons learned with AWS Service teams to contribute to the continual improvement of AWS services based on Customer need

+ Develop and present detailed technical demonstrations and talks to Business and Technical leaders on 1:1 and 1:many/conference type situations

+ Position requires travel – generally around 25%

About the team

The mission of AWS Prototyping is to accelerate customer adoption of AWS, expedite their path to production, and catalyze a culture of innovation.

Prototyping at AWS helps customers envision complex uses of AWS Services by building working prototypes of specific customer use cases, tailored to their data, devices and systems. Prototyping engagements are designed to be innovative and evaluative, demonstrating “the art of the possible” on 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.

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.

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.

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.

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.

BASIC QUALIFICATIONS

– 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

– 10+ years of design, implementation, or consulting in applications and infrastructures experience

– Experience using managed AI/ML services and solutions

PREFERRED QUALIFICATIONS

– Knowledge of AWS services, market segments, customer base and industry verticals

– Experience in applying machine learning models for business application

– Experience programming in Python, TypeScript, Java or related language

– Track record of learning and being curious about emerging technology such as large language models/generative AI

– Experience in implementing and operating cloud solutions in a variety of business environments such as large enterprises and start-ups

– Experience conveying complex subject matter to customers and stakeholders in written and verbal formats

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.