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

Amazon Web Services (AWS); Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Senior Generative AI & ML Specialist Solutions Architect to drive adoption of AI/ML workloads for customers worldwide. You will educate at scale, engage executives, and design solutions using SageMaker, Bedrock, Rekognition, Transcribe, and Personalize.

Lead technical webinars and workshops, shape go-to-market plans, and contribute thought leadership. You will collaborate across SAs, Sales, and AI/ML Service teams to accelerate customer outcomes, publish blogs,

Qualifications

• 8+ years of experience across technology domains (software, cloud, systems, security, networking, data & analytics).
• 3+ years of design, implementation, or consulting in applications and infrastructures.
• 10+ years of IT development or implementation/consulting in software or Internet industries.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Knowledge of software development tools and methodologies.
• 2+ years working with Data & AI technologies including AI/ML, GenAI, Analytics, Database, and/or Storage.
• Hands-on experience with AI services in AWS or Azure or GCP.

Responsibilities

• Educate and influence customers at scale with deep technical knowledge 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 influence architectural decisions.
• Design solutions that leverage AWS AI/ML services including SageMaker, Bedrock, Rekognition, Transcribe, Personalize.
• Be an expert in ML concepts such as LLMs, ML Ops, RAG, prompt engineering, token and latency optimization, AI governance, security for AI agents.
• Build rapid proofs-of-concept for Agentic AI and ML applications based on customer needs.
• Partner with SAs, Sales, BD and AI/ML Service teams to accelerate adoption and revenue in AMERICAS.
• Thought Leadership – Evangelize AWS ML services via blogs, whitepapers, reference architectures and public-speaking events.
• Act as a technical liaison for customer feedback to AWS Bedrock or other service teams.
• Advise senior stakeholders on architectural trade-offs, risks, and long-term strategy.
• Develop and support an AWS internal GenAI community in the AMERICAS.

Skills

AI/ML

GenAI

Cloud computing

Data analytics

Public speaking

Education

Bachelor's degree in CS/Engineering/Math

Tools

SageMaker

Amazon Bedrock

Kiro

Rekognition

Transcribe

Personalize

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.

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

• 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 is 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, it’s 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

• 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

Company – Amazon Web Services, Inc.

Job ID: A10501853