Sr. Startup Solution Architect, Frontier AI , San Francisco Frontier AI Startups
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $176,600 to $239,000
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Do you like startups? Are you an expert in the development and tuning of mdodels, practical application of GenAI, AI, and ML? 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.
We are looking for technical builders who love the idea of working with early-stage startups in San Francisco to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the Frontier AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of AI 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 develop, train and 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
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 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.
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
- 8+ 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
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
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 - 176,600.00 - 239,000.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($176,600) is above 49% of the 5,063 Software Engineering roles in California listed on this site; 4 others list the same floor. Their median floor is $176,600; the middle half runs from $149,365 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSr. Startup Solution Architect, Frontier AI , San Francisco Frontier AI Startups$176,600 to $239,000
Data Scientist II - AMZ10564077$175,040 to $212,800
Manager III, SecEng, AppSec AI$175,100 to $236,900
Manager, Hardware Development - GPU/Accelerator, Annapurna ML Trainium$175,100 to $236,900
Security Engineering Manager, Leo Security$175,100 to $236,900
Security Engineering Manager, Stores AppSec$175,100 to $236,900
Security Engineering Manager, Stores Org Mobile Security$175,100 to $236,900
Chart as a table
| Role | Published base |
|---|---|
| Sr. Startup Solution Architect, Frontier AI , San Francisco Frontier AI Startups (this listing) | $176,600 - $239,000 |
| Data Scientist II - AMZ10564077 | $175,040 - $212,800 |
| Manager III, SecEng, AppSec AI | $175,100 - $236,900 |
| Manager, Hardware Development - GPU/Accelerator, Annapurna ML Trainium | $175,100 - $236,900 |
| Security Engineering Manager, Leo Security | $175,100 - $236,900 |
| Security Engineering Manager, Stores AppSec | $175,100 - $236,900 |
| Security Engineering Manager, Stores Org Mobile Security | $175,100 - $236,900 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-31
Where this pay comes from
Location as the employer wrote it: US, CA, San Francisco
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
