AmazonPosted 1w ago

Solutions Architect II, Data and AI GTM

Solutions Architect II, Data and AI GTM at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattlemidfull-time$151k-$204k

AI in this role

Design technical solutions and enable partners to deliver Agentic AI and data workloads on AWS as a Solutions Architect.

aws

solutions-architecturego-to-marketagentic-aicloud-computingdata-analytics

Are you passionate about helping partners accelerate their customers' cloud journeys? We are looking for a Solutions Architect to join our partner go-to-market team at Amazon Web Services (AWS), where you will architect technical solutions and enable partners to deliver Agentic AI, data, and migration and modernization workloads on AWS. You will collaborate with partners and internal teams to define scalable architectures, build proof-of-concept implementations, and shape go-to-market strategies that help customers solve their most pressing business challenges. This is a compelling time to join as the team is investing heavily in building the foundation for Agentic AI and data services, creating an opportunity for you to influence how partners bring these capabilities to market.

Key job responsibilities
- Collaborate with regional teams and partners to define and execute go-to-market engagement strategies for Agentic AI, data analytics, and migration and modernization workloads.
- Design end-to-end solution architectures for partner engagements, applying best practices for security, scalability, reliability, and performance while identifying opportunities to simplify and reuse patterns.
- Create technical enablement content — including reference architectures, blog posts, and workshops — and present at events to educate partners on AWS AI and data services.
- Drive product feedback by translating partner and customer input into technical requirements for AWS service teams, helping shape the roadmap for AI and data capabilities.
- Provide architectural guidance and mentorship across the partner community, participating in peer design reviews and sharing best practices that raise the collective technical bar.

A day in the life
You might start your morning reviewing a partner's proposed Agentic AI architecture, providing feedback on design trade-offs before joining a working session with an AWS service team to discuss an upcoming feature launch. After lunch you could lead a proof-of-concept workshop with a partner's engineering team, then spend focused time drafting a reference architecture that other partners can reuse. Your week balances collaborative sessions with partners and internal stakeholders against heads-down time for technical content creation and solution design.

About the team
Our team within AWS focuses on enabling partners to bring AI, data, and modernization solutions to customers worldwide. We work at the intersection of technology and go-to-market strategy, ensuring partners have the architectural guidance and enablement resources they need to deliver successful outcomes. As we build the foundation for Agentic AI and expand our data and migration capabilities over the coming months, you will play a direct role in shaping how these technologies reach customers through our partner ecosystem.

Basic qualifications

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred qualifications

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions.
- Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, Mountain View - 151,000.00 - 204,300.00 USD annually
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Solutions ArchitectureGo To MarketAgentic AICloud ComputingData AnalyticsAws

Questions you could be asked

Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where go to market was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Solutions Architecture, Go To Market, Agentic AI, Cloud Computing, and Data Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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