Are you passionate about Generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.
The Generative AI team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of an architectural blueprint that our customers can use to build their own enterprise-wide Generative AI platforms, which will help them balance democratization of access to GenAI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc. The role will partner with others on the team to develop comprehensive and authoritative guidance for using Amazon Bedrock by AWS GenAI customers. The deliverables include: contributions to architectural blueprints, whitepapers, code samples and solutions, thought leadership in the form of public writing and speaking, as well as internal enablement. The role has a global remit.
Key job responsibilities
Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic 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.
Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.