Senior Solutions Architect, Generative AI Startups, AWS
Posted 718 days ago
Job Description
This job posting has expired and no longer accepting applications.
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-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
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and 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 puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
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.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
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-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
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and 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 puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
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.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.
Amazon
119 jobs posted
About the job
Posted on
Mar 25, 2024
Apply before
Apr 24, 2024
Job typeFull-time
CategoryGenerative AI
Location
US, CA
Skills
Similar Jobs
16d
Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM
Amazon
US, WASenior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM
Amazon
US, WA16dNew
Senior Product Strategist, Generative AI Innovation Center
Amazon
US, VASenior Product Strategist, Generative AI Innovation Center
Amazon
US, VANew18d
Senior Machine Learning Engineer (Multimodal Generative AI)
Code and Theory
Bengaluru, Karnataka, IndiaSenior Machine Learning Engineer (Multimodal Generative AI)
Code and Theory
Bengaluru, Karnataka, India18d18d
Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers
Amazon
US, WACloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers
Amazon
US, WA18d14d
Applied AI Engineer – Generative AI
Kodiak
$150K - $250KSan Francisco, CAApplied AI Engineer – Generative AI
Kodiak
$150K - $250KSan Francisco, CA14d18d
Quality Analyst — Generative AI Data Quality
Welocalize
IndiaQuality Analyst — Generative AI Data Quality
Welocalize
India18d18d
Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Amazon
US, TXSr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Amazon
US, TX18d5d
Quality Analyst — Generative AI Data Quality
Welocalize
Gurgaon, IndiaQuality Analyst — Generative AI Data Quality
Welocalize
Gurgaon, India5d9d
Werkstudent (w-m-d) im Managed Services & Solutions Team - Automation & Generative AI
HP
Boeblingen, Baden-Wurttemberg, GermanyWerkstudent (w-m-d) im Managed Services & Solutions Team - Automation & Generative AI
HP
Boeblingen, Baden-Wurttemberg, Germany9d24d
Director- Generative AI Platform and Hub
Visa
$215K - $343KAustin, TXDirector- Generative AI Platform and Hub
Visa
$215K - $343KAustin, TX24d
Looking for something different?
Browse all AI jobsFree AI job alerts
Get the latest AI jobs delivered to your inbox every week. Free, no spam.