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

Amazon Web Services (AWS); New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Senior Generative AI & ML Specialist Solutions Architect to advance Agentic AI workloads. You will educate customers at scale, engage with senior technical leaders, and craft architectural solutions using AWS AI/ML services.

The role emphasizes thought leadership, customer impact, and cross-team collaboration. Based in the AMERICAS, you will lead webinars and workshops, influence strategic decisions, and mentor peers to accelerate adoption and revenue.

Responsibilities

• Educate and influence customers at scale with deep technical knowledge, thought leadership, and clear communication via 1:many webinars, hands-on workshops, AWS blogs, and GitHub solutions.
• Engage with senior engineers, architects, product leaders, data scientists, and executives to understand pain points and drive architectural decisions.
• Design solutions leveraging AWS cloud and AI/ML services (SageMaker, Bedrock, Rekognition, Transcribe, Personalize, etc.).
• Be an expert in ML/AI concepts such as fine-tuning, MLOps, LLMs, RAG, prompt engineering, token optimization, AI governance, and security for AI agents.
• Develop rapid POCs for Agentic AI/ML applications based on customer needs.
• Collaborate with SAs, Sales, and AI/ML service teams to accelerate adoption and revenue in the AMERICAS.
• Lead thought leadership through AWS blogs, whitepapers, reference architectures, and public events.
• Mentor and develop the best people on technical and leadership skills.

Skills

Public speaking

Pre-sales

1:many webinars

Customer engagement

Solution design

Architectural trade-offs

ML/AI concepts

Tools

SageMaker

Bedrock

AgentCore

Kiro

Rekognition

Transcribe

Personalize

Quick

Job description

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 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.

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.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications