Senior Solutions Architect, Generative AI, Startups, AWS
Amazon
Full-time
Remote
Worldwide
Solutions Architect
Revolutionize the Startup Ecosystem with Cutting-Edge Cloud Technologies! Join our dynamic team and become a pivotal force in empowering innovative founders to transform their world-changing ideas into reality using advanced generative AI and AWS technologies.
Key job responsibilities
- Design and recommend best-practice cloud architectures tailored to startup needs
- Serve as a trusted technical advisor, translating complex technological solutions into business value and amplify customer insights to influence AWS technology roadmaps
- Create and share technical content that educates and inspires the startup community
- Evangelize AWS technologies through workshops, speaking engagements, and technical presentations
A day in the life
Imagine a role where every day brings new technological challenges and opportunities. You'll collaborate with innovative startup founders, design groundbreaking cloud architectures, and explore the frontiers of generative AI. Your work will involve deep technical problem-solving, strategic consulting, and helping entrepreneurs turn ambitious visions into tangible solutions.
About the team
We are a passionate collective of technologists, former founders, and cloud experts dedicated to empowering the next generation of innovative companies. Our team combines technical excellence with entrepreneurial spirit, working across a global ecosystem to support startups at every stage of their journey.
About AWS
Diverse Experiences
AWS 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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fuelled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
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. Basic Qualifications: - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience communicating technical details verbally and in writing
- Experience with building, validating and deploying GenAI models and applications on cloud infrastructure
- Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet
- Knowledge of MLOps tools and workflows for model development, validation, and deployment Preferred Qualifications: - Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional).
- Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium/Inferentia, TPU and/or AI ASICs) clusters with high-speed networking.
- 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 in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Key job responsibilities
- Design and recommend best-practice cloud architectures tailored to startup needs
- Serve as a trusted technical advisor, translating complex technological solutions into business value and amplify customer insights to influence AWS technology roadmaps
- Create and share technical content that educates and inspires the startup community
- Evangelize AWS technologies through workshops, speaking engagements, and technical presentations
A day in the life
Imagine a role where every day brings new technological challenges and opportunities. You'll collaborate with innovative startup founders, design groundbreaking cloud architectures, and explore the frontiers of generative AI. Your work will involve deep technical problem-solving, strategic consulting, and helping entrepreneurs turn ambitious visions into tangible solutions.
About the team
We are a passionate collective of technologists, former founders, and cloud experts dedicated to empowering the next generation of innovative companies. Our team combines technical excellence with entrepreneurial spirit, working across a global ecosystem to support startups at every stage of their journey.
About AWS
Diverse Experiences
AWS 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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fuelled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
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. Basic Qualifications: - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience communicating technical details verbally and in writing
- Experience with building, validating and deploying GenAI models and applications on cloud infrastructure
- Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet
- Knowledge of MLOps tools and workflows for model development, validation, and deployment Preferred Qualifications: - Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional).
- Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium/Inferentia, TPU and/or AI ASICs) clusters with high-speed networking.
- 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 in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.