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

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 GitHub, 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.

The AGS Specialist organization is part of the customer facing North America (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 that transform ideas into scalable, 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.

Key job responsibilities - 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 GitHub 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 SageMaker, Amazon Bedrock, Amazon AgentCore, 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.

A day in the life Your day will be dynamic and impactful. On any given day the activities might include many of the following: - 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 conversation to earn their trust - Contribute to AWS blog - Test a new AWS service feature before it's released to customers - Provide a detailed data driven feedback to AWS services team for product feature enhancements - Create slides & demo for webinar - Create a hands-on workshop involving multiple AI & ML services, network, storage, database, and analytics services - Lead, orchestrate, and deliver a 1-many webinar and workshop. - Engage with business and technical leaders and developers in a 1-2 day experience based acceleration event with customer - Work closely with sales team, demand generation team to drive registrations, attendees to a webinar / workshop and/or followup after an event. - Provide weekly market and customer insights that could eventually become part of monthly business review with AWS service and sales leaders - Propose your ideas by writing a 1-pager document and seek feedback from peers and leaders - Mentor, hire & develop the best people on technical and leadership skills - Go above and beyond the job by, for example, developing agentic skills and automation that help reduce manual processes and improve team productivity

About the team AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our specialist solution architecture team for AI/ML dives deep into AI/ML space and 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.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - Bachelor's degree in computer science, engineering, mathematics or equivalent - Knowledge of software development tools and methodologies - 2+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Hands-on experience with AI services in AWS or Azure or GCP

Preferred Qualifications: - Experience working with end user or developer communities - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually