Sr. Solutions Architect, Generative AI Startups, AWS at AmazonWebServices
San Francisco, CA
About the Job
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.We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow
In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, 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 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-marketA day in the lifeStartups 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 teamDiverse 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 GrowthWe’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 experiencePreferred qualification - 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 networkingAmazon 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
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 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
Applicants should apply via our internal or external career site.
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 life sciences startups to help them as they grow
In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, 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 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-marketA day in the lifeStartups 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 teamDiverse 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 GrowthWe’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 experiencePreferred qualification - 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 networkingAmazon 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.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 policiesCriminal 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 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 filledThis
Applicants should apply via our internal or external career site.