Senior Specialist Solutions Architect, AI Accelerator Specialist, Amazon Global Sales, AWS

Amazon; London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading global cloud services provider is seeking a Senior Solutions Architect with expertise in AI and HPC. Responsibilities include designing large-scale solutions using NVIDIA and AWS infrastructure. Candidates should possess over 8 years of experience in infrastructure and networking, along with strong communication skills. This role offers opportunities for professional development and work/life harmony.

Benefits

Flexibility in working culture

Extensive knowledge-sharing opportunities

Professional development resources

Qualifications

• 8+ years of experience in infrastructure architecture and networking.
• Deep expertise with WAF, DDoS protection, and edge security services.
• Experience architecting/operating solutions built on cloud service providers.

Responsibilities

• Design and implement large-scale HPC solutions and AI workloads.
• Optimize Nvidia and Tranium-based GPU cluster architectures.
• Maximize efficiency and throughput across compute-intensive tasks.

Skills

Experience in design and implementation of applications

Communicating with technical and non-technical audiences

Network security concepts

Tools

AWS

NVIDIA

CUDA

Job description

Senior Specialist Solutions Architect, AI Accelerator Specialist, Amazon Global Sales, AWS

Job ID: 3022496 | AWS EMEA SARL (UK Branch)

AWS is seeking a Senior Solutions Architect specializing in AI and HPC on Accelerated Compute platforms, with expertise in NVIDIA GPU, Inferentia, and Tranium-based compute workloads for machine learning applications. As an HPC/AI Accelerated Compute Specialist, you will be the technical expert for complex GPU-intensive workloads, helping customers optimize performance across AWS's compute portfolio.

You'll leverage Nvidia CUDA and Neuron SDKs to maximize efficiency and cost-effectiveness while enabling seamless integration with popular ML frameworks across diverse industries. These will include a variety of training and inference AI workloads, as well as GPU-accelerated HPC environments, and CPU to GPU migration.
You'll work directly with a diverse range of customers to help them make optimal technical decisions in their Ai and HPC journey, balancing innovation with practical constraints and compliance requirements.

You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in all things GPU acceleration based.



Key job responsibilities

- HPC/AI Architecture - Design and implementation of large-scale HPC solutions and AI training and inference workloads, based on Nvidia and AWS infrastructure
- Acceleration Technologies - Optimization of Nvidia and Tranium-based GPU cluster archirtectures for ML/AI applications using CUDA/Neuron/EKS/Slurm
- Performance Tuning - Maximizing efficiency and throughput across compute-intensive tasks, with knowledge of Nvidia NVLink, AWS Neuron and AWS EFA technologies
- Cost Optimization - Strategic resource allocation on a range of accelerated compute platforms, while balancing performance needs with budget constraints
- Framework Integration - Optimizing ML workloads through CUDA/Neuron/EKS integration with PyTorch, TensorFlow, and other frameworks

About the team
AWS Values Your Experience
We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.

Why AWS?
As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.

Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.

Professional Development
As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.

Work/Life Harmony
Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

BASIC QUALIFICATIONS

- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 8+ years’ experience in infrastructure architecture, security architecture and networking
- Deep expertise with WAF, DDoS protection, and edge security services
- Experience architecting/operating solutions built on cloud service providers
- Strong understanding of network security concepts and threat mitigation strategies

PREFERRED QUALIFICATIONS

- AWS Security Specialty certification
- Experience with implementation of Zero Trust architectures
- 10+ years of experience in technology, with 5+ years focused on security/edge services
- Experience architecting large-scale edge computing solutions
- Strong background in network architecture and security controls

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.