Senior Solutions Architect, Generative AI, Startups, AWS

Amazon.com, Inc; Camden Town; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading cloud services provider in Camden Town is looking for a skilled professional to design cloud architectures and advise startups using innovative technologies. The ideal candidate will have a strong background in machine learning and experience with AWS services. This role emphasizes collaboration with startup founders and creating impactful solutions in a dynamic environment.

Qualifications

• Experience communicating at C-level, including training and workshops.
• Ability to convey technical details both verbally and in writing.
• Hands-on AWS architecture experience, including AWS certification.

Responsibilities

• Design best-practice cloud architectures tailored to startups.
• Serve as a technical advisor translating tech into business value.
• Create technical content for the startup community.

Skills

Communication across technical and non-technical audiences

Experience building GenAI models

Machine learning fundamentals

Knowledge of MLOps tools

Benchmarking and optimization on GPUs

Scaling model training/inference

Large-scale model development

Tools

PyTorch

TensorFlow

Amazon SageMaker

Job description

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.