Amazon Sr Worldwide Specialist Solutions Architect - GenAI Bedrock Go-To-Market 

United States, Washington, Seattle 

614761781

LangChain, LlamaIndex, crew.ai, and other GenAI OSS frameworks have become widely popular among developers building Generative AI solutions. LangChain simplifies chaining multiple components like models and datasets into complete solutions. LlamaIndex helps developers augment models with their proprietary data while lowering the barrier to augment models with custom data sources. These frameworks make it easier for developers to try new use cases, switching out components like models and data sources as needed, implementing dozens of design patterns for RAG, model evaluations, observability, agent workflows, and prompt engineering.You will be responsible for developing code examples, documentation, and best practices that showcase the integration of Amazon Bedrock with frameworks like LangChain, crew.ai, and LlamaIndex. You will represent Amazon Bedrock in OSS frameworks and will contribute directly to examples and code on the frameworks. You will partner with Amazon Bedrock product teams to ensure examples and contributions align with Amazon Bedrock's capabilities and roadmap. This role will develop and execute mechanisms to up-skill AWS field teams on GenAI OSS frameworks.Key job responsibilities
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.

- 5+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 1+ year 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, embedding model fine tuning and retrieval method evaluation and optimization approaches.
- Experience contributing to open source projects, particularly in the GenAI space
- Strong understanding of LangChain, LlamaIndex, or similar generative AI frameworks
- 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.
- 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.