AmazonPrincipal Solutions Architect, Strategic Accounts
AI in this role
Architect multi-agent AI systems, real-time inference platforms, and model fine-tuning pipelines for strategic accounts.
The Opportunity
You'll serve as a trusted technical advisor to a technology company that is actively reshaping their industry using AI. You will be a technical counterpart to customer executives who speak fluent AI and expect their AWS Solutions Architect to match that depth and push the conversation further.
The customer is:
- Deploying specialized AI agents across every stage of the traveler journey — from inspiration to booking to in-trip support
- Pioneering a Business-to-Agent (B2A) marketing paradigm — treating AI agents as a first-class audience
- Building MCP-based infrastructure that opens services to third-party AI agents at massive scale
- Leveraging frontier foundation models for real-time inference, fine-tuning, and agentic orchestration
What Makes This Role Different
This role:
- Shapes the technical agenda for the account and operates at the C-Suite level
- Builds net-new architectures that become the reference
- Focuses on business outcomes
- Influences company-wide AI strategy
- Span GenAI, ML platforms, agentic systems, data, and infrastructure
Key job responsibilities
- Build — create prototypes, reference implementations, and production-ready architectures that prove the value of new AI capabilities at scale
- Serve as the trusted technical voice — shaping the industry-level conversation on AI
- Access the full power of AWS — engage specialist teams, applied science resources, and product groups to deliver outcomes that no single team could achieve alone
- Pioneer new patterns — the solutions you build define how the industry approaches agentic AI, model orchestration, and intelligent automation
- Mentor the next generation — develop Solutions Architects who can operate at this altitude and complexity
A day in the life
This is a builder role. You will:
- Architect agentic AI systems — design multi-agent orchestration frameworks, model fine-tuning pipelines, and real-time inference platforms that serve hundreds of millions of users
- Prototype and prove — build working POCs that demonstrate the art of the possible, turning executive vision into deployable architectures in days, not quarters
- Shape AI product strategy — sit in the room where roadmaps are set, influencing not just how but what gets built, both at the customer and within AWS
- Drive the technical relationship — own the end-to-end technical strategy for the customer
About the team
This role is based in Strategic Accounts Atlas District — a team of limitless builders. The team is at the epicenter of AI innovation. The Atlas District includes the largest AI innovators and creators of foundation models. You'll be a peer to the teams building the foundation models your customer runs at scale. You'll have access to research scientists, product leaders, and engineers pushing the boundaries of what AI can do. The Atlas District is limitless by design, and connected by choice.
Basic qualifications
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Preferred qualifications
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of database design and implementation or equivalent
- Experience in cloud architecture and CXO level engagement
- Experience leading the design, automation, deployment, and support of large-scale infrastructure
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 - 182,800.00 - 247,300.00 USD annually
How we rate this
Principal Solutions Architect, Strategic Accounts at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- Tell me about a project where solution architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Fine Tuning, AI Automation, AI Product, and Solution Architecture. 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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