Solutions Architect, Generative AI Startups, AWS

Amazon Web Services, Inc.; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon Web Services, Inc. in San Francisco seeks a seasoned Solutions Architect to guide startups in leveraging AWS for generative AI at scale.

You will work directly with customers to design, deploy and optimize architectures across data pipelines, training, and inference. The role emphasizes collaboration with product teams, content creation, and active participation in the startup ecosystem, accelerators, and VC networks.

Qualifications

• 3+ years of software development, cloud computing, or related engineering roles.
• 3+ years designing or consulting on applications and infrastructures.
• 5+ years of infrastructure architecture, database architecture, and networking experience.
• Experience collaborating with startups, accelerators, or VCs is a plus.

Responsibilities

• Help diverse generative AI startups adopt the right architecture at each lifecycle stage.
• Support startups in architecting scalable, reliable, and secure solutions.
• Assist adoption of a broad range of AWS services to deliver business value.
• Contribute to evolution & roadmap of AWS platform by linking engineering with customers for feedback.
• Build technical relationships within the startup ecosystem with accelerators, incubators, and VCs.
• Create startup-focused technical content and sample code to shorten time-to-market.

Skills

Cloud computing

Software development

Systems engineering

Infrastructure architecture

Networking

Security

Data & analytics

Tools

AWS services

Job description

Do you like startups? Are you an expert in the development and practical application of deep learning and generative AI? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.

Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in.

As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage cutting‑edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.

As well as spending time working directly with customers, you'll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll share knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities

• Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
• Support startups in architecting scalable, reliable and secure solutions
• Support adoption of a broad range of AWS services to deliver business value and accelerate growth
• Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
• Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
• Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market

A day in the life

Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in.

The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost effective and easy to operate architectures.

About the team

Diverse Experiences

Amazon 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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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 and 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.

Basic Qualifications:

• 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience

Preferred Qualifications:

• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience workin