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

Amazon; Chicago (IL); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Senior Specialist Solutions Architect for GenAI/ML to design cloud-based AI solutions leveraging SageMaker, Bedrock, and related services. You will partner with sales and engineering teams to accelerate adoption across the AMERICAS, engaging executives and translating complex AI concepts into scalable business outcomes.

The role emphasizes customer-obsessed engineering leadership, deep technical pre-sales expertise, and a track record of delivering

Qualifications

• 8+ years of experience in software, cloud computing, or related technology domains.
• 3+ years of design, implementation, or consulting in applications/infrastructure.
• Experience in a technical role within a sales organization.

Responsibilities

• Understand customer needs and design AWS cloud/AI solutions that best use SageMaker, Bedrock, Rekognition and other AI/ML services.
• Collaborate with SAs, Sales, and AI/ML teams to accelerate customer adoption and revenue in the Americas.
• Evangelize AWS ML services through blogs, whitepapers, reference architectures, and public speaking events.
• Act as a technical liaison between customers and Bedrock or other service teams for feedback and improvements.
• Develop and support an internal GenAI community across the Americas.

Skills

8+ years tech exp

3+ years design/implementation

Sales-tech experience

Job description

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

Job ID: 10506289 | Amazon Web Services, Inc.

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 unwavering 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 customers achieve their full potential? Do you have the business acumen and technical pre-sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Generative AI and ML workloads? Do you enjoy building impactful AI solutions? Join the GenAI/ML Specialists Solution Architect team as a Senior Generative AI & ML Specialist Solutions Architect - a senior individual contributor role requiring deep technical expertise 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 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

• Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services.
• Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
• 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 service teams to provide customer driven product improvement feedback.
• 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. You'll engage with business leaders, dive deep into technical architectures, and craft transformative AI strategies. You'll collaborate across teams, translating complex technological concepts into clear, actionable solutions that drive meaningful business outcomes.

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 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.

About 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.

Diverse Experiences

AWS 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.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.

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
• Experience in a technical role within a sales organization

Preferred Qualifications

• 5+ years of IT development or implementation/consulting in the software or Internet industries experience
• Experience working with end user or developer communities
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Experience architecting/operating solutions built on AWS

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, CA, Irvine - 153,600.00 - 207,800.00 USD annually

USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually

USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually

USA, NY, New York - 169,000.00 - 228,600.00 USD annually

USA, TX, Austin - 153,600.00 - 207,800.00 USD annually

USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually

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