Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design cloud architectures and empower startups with generative AI solutions.
- Company: Join AWS, a leader in cloud technology and innovation.
- Benefits: Flexible work-life balance, mentorship, and career growth opportunities.
- Why this job: Be a key player in transforming startup ideas into reality with cutting-edge tech.
- Qualifications: Experience in cloud architecture, generative AI, and strong communication skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Overview
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.
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 amplifying 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.
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 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; 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 developing and deploying large‑scale machine learning or deep learning models and/or systems into production, including batch and real‑time data processing.
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.
Legal & Privacy
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.
About 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.
#J-18808-Ljbffr
Senior Solutions Architect, Generative AI, Startups, AWS employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect, Generative AI, Startups, AWS
✨Tip Number 1
Network like a pro! Get out there and connect with people in the startup scene. Attend meetups, workshops, and tech events where you can chat with founders and other techies. The more people you know, the better your chances of landing that dream role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI and AWS. This is your chance to demonstrate your expertise and passion for the field. Share it on platforms like LinkedIn or even your own website!
✨Tip Number 3
Don’t just apply – engage! When you find a job listing that excites you, reach out to someone at the company. Ask questions about the role or the team. This shows your genuine interest and can help you stand out from the crowd.
✨Tip Number 4
Keep learning and sharing! Stay updated on the latest trends in generative AI and cloud technologies. Join online forums, write articles, or even give talks. This not only boosts your knowledge but also positions you as a thought leader in the community.
We think you need these skills to ace Senior Solutions Architect, Generative AI, Startups, AWS
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Solutions Architect role. Highlight your experience with AWS and generative AI, and show us how your skills align with our mission to empower startups.
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of cloud architectures you've designed or GenAI models you've built. This is your chance to shine, so don’t hold back on the details!
Communicate Clearly: Remember, you’ll be translating complex tech into business value. Use clear, concise language in your application to demonstrate your ability to communicate effectively with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our innovative team!
How to prepare for a job interview at Amazon.com, Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest generative AI technologies and AWS services. Brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow, and be ready to discuss how you've applied them in real-world scenarios.
✨Tailor Your Communication
Since you'll be interacting with both technical and non-technical audiences, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical details to C-level executives or during workshops.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your experience with benchmarking and optimising model performance, especially in high-speed networking environments.
✨Engage with the Startup Community
Demonstrate your passion for empowering startups by sharing any relevant content you've created or events you've participated in. Discuss how you’ve contributed to the startup ecosystem through workshops or speaking engagements.
