Senior GenAI Data Scientist - GenAI & AI Agents, AGS NAMER Specialist Team
AI summary of the role
Senior individual contributor role on the AWS GenAI/ML Specialist team, serving as the SME for NAMER enterprise customers designing and deploying GenAI and agentic solutions on Amazon Bedrock.
What you’ll do
- Design and implement GenAI and ML solutions for NAMER enterprise customers using Amazon Bedrock, SageMaker, and AgentCore.
- Build prototypes, PoCs, and agentic applications leveraging Bedrock Agents, Strands Agents, and open-source frameworks like LangChain and CrewAI.
- Advise customer data science teams and C-suite executives on LLM architectures, model evaluation, and best practices.
- Lead technical deep dives and whiteboard sessions with customer chief data scientists and VPs of AI/ML.
What you’ll bring
- 5+ years of experience in end-to-end technical architecture, design, deployment, and operations for GenAI/ML platforms.
- 4+ years of data scientist experience and 5+ years with SQL, Python, or statistical software.
- 3+ years working with LLM technologies including architectures and model evaluation.
- Master's degree or above in a quantitative field (statistics, math, data science, etc.).
Technologies
Amazon Bedrock · SageMaker · AgentCore · Strands Agents · LangChain · LangGraph · CrewAI · LlamaIndex · Kubernetes · Docker · FlashAttention · PagedAttention
About Amazon (incl AWS)
Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.
Public
Source and classification
Implementation & delivery · Evidence for this classification:
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you a customer-obsessed builder passionate about helping enterprise customers achieve their full potential with Generative AI? Do you have deep data science expertise and the technical pre-sales acumen to help customers evaluate, design, and deploy GenAI and ML solutions on AWS? Do you enjoy building impactful AI agents and agentic applications? Join the GenAI/ML Specialist organization as a Senior Generative AI Data
More from the job description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you a customer-obsessed builder passionate about helping enterprise customers achieve their full potential with Generative AI? Do you have deep data science expertise and the technical pre-sales acumen to help customers evaluate, design, and deploy GenAI and ML solutions on AWS? Do you enjoy building impactful AI agents and agentic applications? Join the GenAI/ML Specialist organization as a Senior Generative AI Data Scientist — a senior individual contributor role requiring deep data science expertise, hands-on ML engineering skills, and executive-level customer engagement. The AGS Specialist organization is part of the customer-facing NAMER sales organization, and is responsible for driving revenue and accelerating adoption of cloud and partner services across diverse customer segments. We work backwards from our customers' most complex and business-critical challenges to develop and execute go-to-market plans tha [... source excerpt omitted ...] ble, high-impact businesses. AGS NAMER teams include sales specialists and technical solution architects. As part of the team, you will contribute across the full lifecycle of AWS customer initiatives—from shaping new service and solution concepts to accelerating adoption of established offerings. We pride ourselves on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly across AWS as #OneTeam. Role Description In this role, you will be the Subject Matter Expert (SME) for helping NAMER Enterprise customers design and implement Generative AI solutions that leverage Amazon Bedrock. You will translate customer business challenges into data science-d [... source excerpt omitted ...] GenAI applications that accelerate adoption of AWS AI/ML services. You will engage with senior engineers, data scientists, product leaders, and executives at strategic enterprise customers to influence technical decisions and provide structured feedback to AWS product teams. You will interact with customers directly to understand their business problems, help and aid them in implementation of generative AI solutions, deliver briefings and deep dive sessions, and guide customers on adoption patterns and best practices for generative AI. You will build prototypes, proof-of-concepts, and explore novel solutions leveraging Amazon Bedrock, Amazon AgentCore, Strands Agents, and open
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