Senior Specialist Solutions Architect - Agentic AI, AGS Specialist Solutions Architects

Description
AWS Global Sales (AGS) 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 for Agentic AI/ML use cases.

AWS Global Sales (AGS) 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 for Agentic AI/ML use cases. Are you a customer-obsessed builder passionate about helping customers achieve their full potential in the AI/ML space? Do you have the business acumen and technical pre-sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Agentic AI and ML workloads?

Do you like to think big, innovate and simplify Agentic AI & ML solutions? Do you enjoy sharing thought leadership via AWS blogs, open source solutions in Git Hub, and drive scaled adoption via 1:many webinars and workshops for customers? Join the AI/ML Specialists Solution Architect team as a Senior Generative AI & ML Specialist Solutions Architect - a senior individual contributor role requiring deep technical expertise, customer engagement at developer and executive level, and deliver impactful technical thought leadership in 1:many webinars and workshops with excellent public speaking skills.

• Educate and Influence customers at scale (expect 60% of time) with deep technical knowledge, thought leadership, and excellent communication skills via 1:many webinars, hands-on workshops, AWS blogs, solutions in Git Hub that help customers accelerate building / enhancing their Agentic AI applications.
• In 1:1 customer engagements, engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers to understand their pain points & requirements and influence architectural decisions.
• Design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including Sage Maker, Amazon Bedrock, Amazon Agent Core, Kiro, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services.
• Be an expert in various ML and AI applied concepts such as model fine tuning, ML Ops, LLMs, RAG, prompt engineering, token & latency optimization, Agent evaluations, AI governance, MCP servers, context engineering & optimization, security & safety for AI agents, loop engineering, etc.
• Build rapid proof-of-concepts for Agentic AI and ML applications based on customer needs and requirements.
• Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for the above mentioned AWS services.
• Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:
  
  Invent, etc.
• Act as a technical liaison between customers and the Amazon Bedrock or other AWS service teams to provide customer driven product improvement feedback.
• Advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy.
• Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.

• Lead an architecture and best practices discussion on security, safety, costs, latency, accuracy aspects on AI applications
• Rapidly develop proof of concept (POC) or demo with hours for an upcoming customer…