Solutions Prototyper

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Prototyping and Customer Engineering (PACE) at AWS is a strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of data scientists, developers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

As trusted customer advocates, the PACE team helps customers in creating the early iterations of products and solutions, often exploring new technical grounds. The team is looking for experienced and motivated technologists who possess a unique balance of technical depth in the Generative AI space along with strong interpersonal and writing skills.

As a prototype developer, GenAI, you will partner with customers and other AWS teams to craft solutions that address customer use cases and accelerate the adoption of AWS. You will help shape and build prototypes covering a spread of domains across a range of industry verticals like automotive, energy, health care, manufacturing and media and entertainment. The ability to learn new technology and develop solutions that meet a high quality bar and convey business value is critical to the role. In this role, it's imperative that you're self-guided and disciplined in managing your time to ensure success.

Specifically, your Prototypes will explore the art of the possible with Generative AI. The ability to learn new technology and develop solutions that meet a high quality bar and convey business value is critical to the role. In this role, it's imperative that you're self-guided and disciplined in managing your time to ensure success.

Here are some qualities we are looking for:

• The ideal candidate will have past experience working as a developer or hands-on solutions architect. You will enjoy keeping your existing technical skills honed and developing new ones. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.

• As a technical leader, you combine design and architecture knowledge with development capability (i.e. comfortable on the white-board and also on the keyboard).

• You will engage often in early stages of customer use-cases and also in competitive situations. Being able to deal with ambiguity, good communication and being hands-on are important qualities - you will often be the lead technical person in the room and you will be collaborating with other senior leaders from technical and business domains.

• Be great fun to work with. At AWS, we have a credo of "Work hard. Have fun. Make history". In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, willing to take on complex challenges and make a big impact.

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 professional and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

A day in the life

While on a customer prototype engagement, you will work collaboratively with other developers, Technical Program Managers (TPMs) and specialists to deliver results. The small team working on the prototype will change from project to project based on availability, specialized skills required and career growth interests. Team members come from across the US and EMEA. Larger team meetings occur periodically to share knowledge and get updates on goals, etc.

We are open to hiring candidates to work out of one of the following locations:

East Palo Alto, CA, USA | San Francisco, CA, USA | San Jose, CA, USA

Basic Qualifications

• 2+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 2+ years of design, implementation, or consulting in applications and infrastructures experience
• 3+ years of design, implementation, or consulting experience in AI/ML (1+ in Generative AI specifically)
• 3+ years design/ implementation/ consulting application development experience with deep knowledge of software development tools and methodologies and active, hands-on coding and application design experience
• 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 technical, math, or scientific field
• Strong working knowledge of deep learning, machine learning and statistics
• Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
• High level of comfort communicating effectively across internal and external organizations in both written and presentation forms.
• Ability to demonstrate body of work and influence (e.g. public repos, public speaking, Open Source contributions or similar).

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

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $204,300/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.