Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Responsibilities: Develop cloud-based GenAI solutions to grow the GenAI business Enable customers and AWS teams with end-to-end GenAI demos and value propositions Engage with startups, enterprises, and partners to understand business problems and design scalable AWS-powered GenAI solutions Collaborate with account teams, researchers, and product teams to drive model implementations and new solutions Shape GTM plans and communicate with executive stakeholders to surface product gaps and priorities Interact with AWS service teams to align on roadmap priorities and customer needs Shape product vision with AWS ML and EC2 teams for AI/ML frameworks and applications Represent a technically informed customer voice to internal stakeholders Drive end-to-end technical engagements with strategic customers and executive audiences Identify patterns and opportunities across industries to accelerate innovation

Key requirements: 8+ years in software, cloud, systems, security, data analytics or related tech domains 3+ years in design/implementation/consulting for applications and infrastructures 10+ years in IT development/consulting in software or internet industries Experience deploying and managing AI products at scale Experience with ML fundamentals and frameworks (PyTorch, JAX) or related ML deployment work Experience in computer architecture or deploying LLMs in production on GPUs/accelerators Experience deploying/serving large language models with Kubernetes or similar orchestration Hands-on understanding of deep learning and ML algorithms and infrastructure Knowledge of MLOps tools and workflows for model development, validation, deployment Experience collaborating with field teams to drive ML adoption Preferred: Master's degree in engineering or STEM, programming in Java/Python/C++/Go/etc., cross-functional collaboration, industry vertical exposure Experience with physical AI workloads and related platforms (e.g., Isaac Sim, ROS/ROS2) and model hosting APIs Experience with 3rd party AI model providers and evaluation pipelines Strong communication with leadership and cross-functional teams Collaborative and customer-obsessed mindset Strategic thinking and business storytelling PyTorch, JAX Kubernetes, Slurm, Docker/Enroot NCCL, MPI