1 day ago
Base Salary
$154k - $239k/yr
Responsibilities
- Drive end-to-end technical engagements with strategic customers, including foundation-model builders, physical AI innovators, and enterprise architects.
- Design, demonstrate, and guide implementation of scalable AWS GenAI training and inference solutions.
- Develop GTM plans, customer value propositions, demos, proofs of concept, and enablement materials for AWS sales, solutions architecture, and technical communities.
- Evaluate model performance and help customers deploy and serve large language models at scale.
- Collaborate with engineering, product, research, sales, marketing, business development, and professional services teams.
- Represent the voice of the customer and influence AWS product vision, feature prioritization, and roadmap decisions.
- Communicate GenAI architectures, opportunities, and challenges to technical stakeholders, executives, and C-level leaders.
Requirements
- 8+ years of experience in relevant technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- 3+ years of experience designing, implementing, or consulting on applications and infrastructure.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
- 10+ years of technical specialist, design, and architecture experience, or a degree in advanced technology.
- Experience developing, deploying, and managing AI products at scale and deploying large language models in production.
- Experience with machine learning and LLM fundamentals, training and inference lifecycles, model optimization, PyTorch, or JAX.
- Experience with computer architecture, GPUs, Neuron, TPU, or other AI acceleration hardware.
- Experience deploying and serving LLMs using Kubernetes or similar container orchestration platforms.
- Hands-on understanding of deep learning, ML algorithms, ML infrastructure, and MLOps workflows.
- Experience working with field teams to drive adoption of ML solutions.
- Preferred: master's degree or above in engineering or an equivalent STEM field.
- Preferred: experience with Java, Python, C++, C#, Go, Rust, or TypeScript.
- Preferred: experience with product requirements, feature prioritization, roadmap influence, developer communities, model providers, model hosting platforms, or physical AI workloads.
- Preferred: experience with Isaac Sim, Isaac Lab, ROS, ROS2, robotics simulation, autonomous systems, or real-time inference pipelines.
Benefits
- Comprehensive health benefits including medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, medical advice, flexible spending accounts, and adoption and surrogacy reimbursement.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units are included in the Amazon package.
- The posting lists location-specific base salary ranges for Santa Clara, New York, Austin, and Seattle.
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.