Are you passionate about Generative AI? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers build and deploy Gen. AI enabled applications using Amazon Bedrock, customize Generative AI models, 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 Gen. AI along with AWS Services. The Worldwide Specialist Organization (WWSO) 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 customers 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 #One. Team. The Generative AI Worldwide Specialist team guides AWS customers on building enterprise-grade Gen. AI systems. This role will support development of techniques, solutions and architectural blueprints that our customers can use to build their own enterprise-wide Generative AI and Agentic systems in a responsible way, helping them balance democratization of access to Gen. AI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc. This role specifically will be owning development of best practices around Responsible AI covering such important topics as guardrails, veracity, model evaluations, automated reasoning, fairness, explainability, etc. The role with partner with others on the team to develop comprehensive guidance for AWS Gen. AI customers using Amazon Bedrock. The deliverables include: helping customers solve complex problems with data science, contributions to the joint technical guidance, architectural blueprints / whitepapers, feedback to AWS Bedrock science teams, 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, troubleshoot customer issues, and explore new solutions. You will interact closely with our customers and with the academic community.- Thought Leadership Evangelize AWS features relating to Responsible AI 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 S - As, 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 Gen. AI solutions into customer architectures. Basic Qualifications- 5 years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4 years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression- 5 years of management of technical, enterprise customer facing resources or equivalent experience- 7 years design/implementation/consulting experience of distributed applications- 5 years of hands-on experience with AI/ ML or related technology domain- 3 years of hands-on experience with Responsible AI - Preferred Qualifications- 2 years of data visualization using AWS Quick. Sight, Tableau, R Shiny, etc. experience- Experience managing data pipelines- Experience as a leader and mentor on a data science team- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud- Experience with presentations and speaking with executives, IT, management, and developers- BS degree in computer science or equivalent, or 4 years of technical work experience- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises- Track record of thought leadership and innovation around Responsible AI.