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 proposition 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.
• You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives.
• 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.
• You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts).
• You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
• You should be passionate about helping companies/partners understand best practices for operating on AWS.
• An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management.

Requirements

• 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• Experience developing, deploying and managing AI products at scale
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch or JAX software
• Bachelor’s degree in technical discipline with 10+ years of technical design / implementation / consulting experience.
• Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking.
• Experience deploying and serving large language models for inference using container orchestration platforms like Kubernetes.
• Hands-on understanding of deep learning and other ML algorithms and infrastructure.
• Knowledge of MLOps tools and workflows for model development, validation, and deployment.
• Experience working with field teams to drive adoption of ML solutions.

Preferred

• Master's degree or above in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
• Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
• Experience working with end user or developer communities
• Experience working with 3rd party AI model providers to evaluate model quality/performance.
• Experience deploying models on model hosting platforms and/or working with early adopters of model APIs.
• Knowledge of vertical use cases for large language models in industries like finance, healthcare, retail etc.
• Demonstrated ability to work effectively across internal and external organizations.
• Ability to influence product roadmaps based on customer needs and market traction.

Benefits

• comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching, paid time off, and parental leave