Senior GenAI Solutions Architect

2 days ago

Dallas, Texas, United States Amazon Full time
About the Role

We are seeking a highly skilled Senior GenAI Solutions Architect to join our team at Amazon. As a key member of our Generative AI Worldwide Specialist organization, you will be responsible for designing and implementing cutting-edge GenAI solutions for our customers.

Key Responsibilities
  • Design and deploy state-of-the-art machine learning solutions under Gen AI, building prototypes, PoCs, and exploring new solutions.
  • Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures, and public-speaking events.
  • Partner with Data Scientists, SAs, Sales, Business Development, and the Generative AI Service teams to accelerate customer adoption and provide guidance on their customer engagements.
  • Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer-driven product improvement feedback.
  • Develop and support an AWS internal community of GenAI-related subject matter experts worldwide.
  • Create field enablement materials for the broader technical population to help them understand how to integrate AWS GenAI solutions into customer architectures.
Requirements
  • 3+ years of experience in end-to-end technical architecture, design, deployment, and operations for Generative AI/ML platforms and applications.
  • 1+ year of experience working with technologies related to large language models, including LLM architectures, model evaluation, adapters, model customization, including pre-training and fine-tuning techniques.
  • Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
  • Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning, and retrieval method evaluation and optimization approaches.
  • 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
  • 5+ years of professional experience in software development in languages related to ML like Python or Java.
  • 8+ years of specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
  • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
Preferred Qualifications
  • Experience with optimizing ML workloads using Model compression, distillation, pruning, sparsification, quantization, Transformers-based algorithms like FlashAttention, PagedAttention, Speculative decoding, Distributed training/inference optimization, Hardware-informed efficient model architecture.
  • Experience with distributed training and optimizing performance versus costs.
  • Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex.
  • Design, develop, and optimize high-quality prompts and templates that guide the behavior and responses of LLM.
  • Customer-facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, and risk mitigation.
  • Experience with AWS technologies like SageMaker, Step Functions, OpenSearch, PgVector, S3, IAM, Cognito, EC2, Glue, & EMR.
  • Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.
  • Track record of thought leadership and innovation around Machine Learning.
  • Experience with Container Platforms (Docker, Kubernetes/Fargate).
  • Experience with Performance benchmarking and developing prescriptive guidance on optimally building, deploying, and monitoring ML models on AWS to drive actions at scale to provide low prices and increased selection for customers.
About Amazon

Amazon is a total compensation company. We offer a full range of medical, financial, and/or other benefits. For more information, please visit our website.

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