Description

Are you passionate about Generative AI (GenAI)? This is an exciting opportunity to shape the future of AI and make a real impact on our customers' generative AI journeys. We are seeking an experienced Open Source Generative AI Specialist to join our team and drive the adoption of Amazon Bedrock through strategic contributions to popular open source frameworks.

The Worldwide Specialist Organization (WWSO) - Generative AI is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam

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

• Develop and contribute high-quality code examples and documentation for integrating Amazon Bedrock with popular open source generative AI frameworks.

• Develop technical assets such as workshops, code samples, and demos on generative AI frameworks and their integration with Amazon Bedrock to enable the internal AWS technical community.

• 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.

• Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.

• Implement, and deploy state of the art GenAI solutions. Build prototypes, PoCs, and explore new solutions while interacting closely with our customers.

• Identify new opportunities for strategic open source contributions that can accelerate Amazon Bedrock adoption.

• Partner with GenAI GTM Business Development specialists to define OSS GenAI sales plays, solutions, and initiatives.

About the team

WW Bedrock GTM specialists team consists of GenAI Solution Architects and Data Scientists. The team is responsible for accelerating Bedrock adoption in partnership with WW BD Specialists. We collaborate with Bedrock service team to support GenAI feature launches, feature adoption, and influence service roadmaps based on customer feedback. The team is responsible for field enablement on Bedrock features and also works directly with field teams on strategic customer opportunities. The team represents Bedrock at industry events and conferences such as AWS:reInvent and AWS Summits.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

• Should be able to interact with Chief Data Science Officers, as well as the people within their organizations.

• 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. Led a cloud initiative as an AWS customer or consulting with a customer in their own IT transformation.

• Experience with Container Platforms (Docker, Kubernetes/Fargate).

• Experience with Performance benchmarking and developing prescriptive guidance on optimally building, deploying and monitoring GenAI applications on AWS to drive actions at scale to provide low prices and increased selection for customers.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.