Cloud Solutions Architect

2 months ago

London, Greater London, United Kingdom Amazon Full time
Principal GenAI Specialist Solutions Architect, Training & Inference

Job ID: AWS EMEA SARL (UK Branch)

Are you passionate about defining the future of Go to Market (GTM) at AWS using generative AI (GenAI)?

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector.

Within SMGS, you will be part of the core worldwide GenAI Training and Inference team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals.

You will work directly with the most important customers (across segments) in the GenAI model training and inference space, helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, model performance evaluations, develop demos and proof-of-concepts, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.

Key Job Responsibilities

You will help develop the industry's best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, solution architects, and sales with specific customer-centric value propositions and demos about end-to-end GenAI on AWS cloud.

You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Lustre), ML frameworks (PyTorch, JAX), orchestration layers (Kubernetes and Slurm), parallel computing (NCCL, MPI), MLOPs, as well as target use cases in the cloud.

About the Team

The Foundation Models (fka Training & Inference) team is highly specialized on computational workloads, performance evaluations, and optimization. We work with Foundation model builders and large-scale training customers, dive deep into the ML stack, including the hardware (GPUs, Custom Silicon), operating system (kernel, communication libraries (NCCL, MPI), frameworks (PyTorch, NeMO, Jax), and models (Llama, Nemotron...).

BASIC QUALIFICATIONS

  • Bachelor's degree in computer science, engineering, mathematics, or equivalent
  • Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing
  • Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data, and analytics
  • Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
  • Practical experience in distributed training frameworks and inference servers

PREFERRED QUALIFICATIONS

  • Knowledge of distributed systems design and implementation or equivalent
  • Knowledge of large-scale automation and workflow management or equivalent
  • Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
  • Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud
  • Practical experience in High Performance Computing (HPC) and/or distributed training, performance profiling, and optimization
  • Experience in distributed training (PyTorch, Jax, NeMo) and/or inference (NIMS, TRT-LLM, TorchServe, Triton)

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