Solutions Architect, Generative AI Startups, AWS

Amazon; San Francisco (CA); On-site; USD 151,000 - 204,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Sign-on payments

Job summary

Amazon’s AWS Startup Solutions Architecture team helps generative AI-focused startups leverage AWS to build, train, and deploy cutting-edge foundation models at scale. You’ll work directly with customers, create scalable architectures, and contribute to a broad range of technical content.

The role emphasizes collaboration with product teams, developer communities, and startup accelerators while promoting secure, cost-effective cloud solutions across the AWS platform.

Qualifications

• 3+ years in software development, cloud computing, systems engineering, or related fields.
• 3+ years in design, implementation, or consulting for applications/infrastructure.

Responsibilities

• Help diverse generative AI startups adopt architecture across lifecycle.
• Assist startups in architecting scalable, secure solutions.
• Guide adoption of AWS services to deliver value and growth.
• Contribute to platform roadmap by feeding customer feedback to engineering teams.
• Establish technical relationships with accelerators, incubators, and VCs.
• Create startup-focused technical content (blogs, sample code, solutions).

Skills

Python

Generative AI libraries

Cloud architecture

SageMaker

Machine learning

Distributed training

RAG/PEFT/RLHF/DPO

Slurm/ParallelCluster

End-user engagement

Tools

PyTorch

JAX

TensorFlow

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 one ce.

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 working with end user or developer communities
• Experience working with Python and generative AI libraries and frameworks such as PyTorch, JAX, TensorFlow
• Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
• Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker
• Experience with related technology areas such as distributed filesystems and high performance networking

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually