# Amazon Solutions Architect Interview Guide

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Source observed: 2026-11-04T21:21:36.921Z
Last checked: 2026-11-04T21:21:36.921+00:00
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# Amazon Solutions Architect Interview Guide

Updated 20 days ago by Amazon candidates. This expert guide from Aced (formerly Exponent) helps candidates prepare for the customer-facing, pre-sales Amazon Web Services (AWS) solutions architect interview. We cover the interview stages, evaluation criteria, reported questions, preparation steps, the role itself, resources, and FAQs.

[Expert guide](https://www.aced.io/guides/amazon-solutions-architect-interview) · [Interview experiences (12)](https://www.aced.io/guides/amazon-solutions-architect-interview/experiences) · [Questions (55)](https://www.aced.io/guides/amazon-solutions-architect-interview/questions) · [Resumes](https://www.aced.io/guides/amazon-solutions-architect-interview/resumes)

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> **Verified** — Our guides are created from recent, real, first-hand insights shared by interviewers and candidates. If your experience differs, [tell us here](https://www.aced.io/questions/contribute).

The Amazon solutions architect interview centers on architectural reasoning and clear communication. The system design round is often a live conversation without a diagram; interviewers continue raising requirements and asking for more detail. Leadership Principles run through every round, so technical answers also provide behavioral signals.

## Amazon solutions architect interview process

Amazon replaces algorithm coding with architecture discussion and includes Leadership Principle questions in nearly every round. The exact rounds and order vary by team. A typical process is:

- **Online assessment:** A timed technical screen on cloud fundamentals; some candidates skip it depending on background and application.
- **Recruiter screen:** Logistics, level, and the Leadership Principles emphasized in the loop.
- **Technical screen:** A solutions architect combines cloud reasoning and Leadership Principle questions in one conversation.
- **Onsite loop:** 4–6 virtual interviews covering system design, technical deep-dives, Leadership Principles, and a project presentation or written work-sample.

The full process usually takes several weeks to two months. Recruiters commonly share the loop structure and the Leadership Principles to prepare, so ask for specifics early. These patterns come from recent senior candidate reports and your loop may differ.

## Online assessment

The timed online assessment checks cloud fundamentals before a live interview. Not every candidate takes it. It tests applied reasoning through scenarios that match AWS services to customer challenges and questions grounded in the AWS Well-Architected Framework.

It covers:

- **Cloud fundamentals:** Compute, storage, networking, and database concepts.
- **Scenario matching:** Selecting an AWS service for a described customer challenge.
- **Well-Architected thinking:** Reliability, performance, cost, security, and operational trade-offs.

### Sample questions

- Your customer is experiencing heavy load times. Which AWS service would you use to address it?
- Walk through the pillars of the AWS Well-Architected Framework.

## Recruiter screen

The recruiter confirms your level, explains the stages, and may provide preparation materials showing which Leadership Principles to emphasize. Use the call to confirm logistics and whether your onsite uses a presentation or written work-sample, since that split is team-dependent. Ask what each onsite round will cover before preparing.

## Technical screen

The technical screen usually lasts **45–60 minutes** and combines cloud reasoning with Leadership Principle questions in a conversation with a practicing solutions architect. Expect questions about APIs, CDNs, load balancers, networking, and security. You may need to design a component verbally, without a diagram, while the interviewer adds requirements.

Interviewers look for:

- **Clarity of explanation:** Describe how a system works and why a design choice matters.
- **Trade-off reasoning:** Choose a service, database, or messaging approach for a stated constraint.
- **Leadership Principle signals:** Show ownership, customer focus, and sound judgment through concrete examples.
- **Composure under changing scope:** Adapt when requirements shift.

### Recently asked questions

- How does TLS work, and when would you use it?
- What's the difference between TCP and UDP?
- How would you prevent a DDoS attack on AWS?
- How do containers differ from a hypervisor, and when would you use each?
- Tell me about a time you raised the bar.

## System design interview

This is an open-ended, conversational round in which you design a cloud architecture and defend trade-offs in real time. Amazon evaluates how you structure an ambiguous challenge as well as the final design. The interviewer may add functional and non-functional requirements throughout the discussion and ask follow-ups about areas you addressed quickly.

Interviewers look for:

- **Requirement clarification:** Scope an ambiguous prompt before designing.
- **Structured reasoning:** Break the design into clear, ordered components.
- **Trade-off justification:** Explain database, messaging, and compute choices against the constraints.
- **Resilience and scale:** Address high availability, multi-region failure, and growth.
- **Cost awareness:** Include cost in architecture decisions.

Generative AI architecture is increasingly discussed in mainstream system design loops and is a core expectation for GenAI and ML specialist roles. Prepare to discuss retrieval-augmented generation (RAG), vector stores, guardrails, and cost-aware model selection on Amazon Bedrock. A standalone GenAI round is not guaranteed for generalist candidates.

### Recently asked questions

- Design a highly available web application architecture.
- Design an ecommerce platform that stays up through a Black Friday traffic surge.
- Design a system that loses no data if an entire AWS region fails.
- Design a retrieval-augmented generation (RAG) Q&A system for millions of documents and hundreds of thousands of users.

## Technical knowledge interview

This onsite deep-dive follows the initial technical screen and tests cloud infrastructure foundations under load, failure, and scale. Topics include networking, storage, databases, security, disaster recovery, load balancing, data encryption, SQL versus NoSQL, multi-AZ and multi-region design, and cost optimization.

Interviewers look for conceptual depth, applied judgment, failure thinking, and security awareness, including least privilege, encryption, and network controls.

### Sample questions

- What are the trade-offs between SQL and NoSQL databases, and when would you choose each?
- When would you use object, block, or file storage on AWS?
- How do you design for high availability across multiple AWS regions?
- Walk through your recovery time and recovery point objectives (RTO and RPO) for a disaster recovery plan.
- How do you approach cost optimization for a large AWS workload?

## Technical presentation

Many loops include a technical presentation to a mixed technical and business panel. Some teams instead assign a written work-sample, such as debugging a CloudFormation stack sent one or two weeks ahead and writing a short customer-style proposal. Confirm the format with your recruiter.

A presentation generally lasts **30–60 minutes** and may include solutions architects, an SA manager, and sometimes an account executive. Follow-up questions may extend beyond the original scope to test how you handle objections.

Interviewers look for narrative clarity, technical depth, audience adaptation, and composure under challenge.

### Example prompts

- Present a project you delivered, including the challenge, architecture decisions, and outcome.
- Design and present an architecture for a panel-provided scenario, such as a cloud migration.

## Leadership Principle interview questions

Leadership Principles run through every round. Amazon evaluates **16 Leadership Principles**, and each interviewer usually assesses two or three. A Bar Raiser—an evaluator trained outside the hiring team—participates as a trained evaluator with veto power and checks whether you would raise the bar for the role.

Principles that commonly surface for solutions architects include:

- **Customer Obsession:** Start from the customer's need and work backward to the architecture.
- **Ownership:** Take responsibility for outcomes beyond your immediate task.
- **Dive Deep:** Investigate root causes and stay close to technical detail.
- **Are Right, A Lot:** Make sound calls with incomplete information.
- **Earn Trust:** Communicate candidly and admit what you do not know.
- **Invent and Simplify:** Reduce complex systems to workable designs.

Interviewers look for structured situation-action-result stories, quantified impact, clear scope of impact, and candor when challenged.

### Recently asked questions

- Tell me about a time you found the root cause of a difficult technical issue.
- Tell me about a time you handled pushback from an internal customer.
- Tell me about a time you had to say no to someone.
- Tell me about a time you made a decision with incomplete data.
- Tell me about a time you disagreed with a stakeholder.

## How to prepare for the Amazon solutions architect interview

1. **Prepare two or more quantified stories per Leadership Principle.** Spread examples across Customer Obsession, Ownership, Dive Deep, and Earn Trust. Use a clear situation, your specific actions, and a measurable result.
2. **Justify every architecture trade-off.** Reason from access patterns, consistency, throughput, delivery guarantees, and the constraints in front of you when choosing databases, messaging, or compute.
3. **Practice resilient and migration designs.** Work through multi-AZ and multi-region architectures, RTO and RPO targets, disaster recovery from backup-and-restore through active-active, and at least one complete legacy-to-cloud migration.
4. **Use the Well-Architected Framework as a live lens.** Know its six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Explain their trade-offs under time constraints.
5. **Prepare for generative AI discussion.** For RAG, cover chunking, embeddings, vector-store choice, retrieval quality, guardrails, and when to prompt, retrieve, or fine-tune. Include cost-aware model selection on Amazon Bedrock.
6. **Narrate reasoning and assumptions.** Think aloud, ask clarifying questions, state trade-offs, and acknowledge limits of knowledge. Overstating familiarity with an unknown service can undermine Earn Trust.
7. **Do not use AI tools during the interview.** Amazon guidelines prohibit generative AI assistance unless the interviewer explicitly permits it; unauthorized use can disqualify you. Use AI during preparation only.
8. **Practice with mock interviews.** Use [peer and AI mock interviews](https://www.aced.io/practice) for architecture and Leadership Principle rounds, or book an [expert coaching session](https://www.aced.io/coaching).

## About the Amazon (AWS) solutions architect role

Amazon solutions architects are customer-facing, pre-sales technical experts who help AWS customers design and adopt cloud solutions. The role combines technical knowledge with consulting and communication and does not involve writing production code.

Typical work includes:

- Designing cloud architectures that match customer requirements and budgets.
- Running proofs of concept, demos, and technical workshops.
- Advising on migrations, security, and cost optimization.
- Guiding customers through AWS services and the Well-Architected Framework.

Levels and organizational variants include:

- **Levels:** SA I through SA III map roughly to L4 through L6; principal SAs are at L7.
- **Org variants:** Commercial SA, Worldwide Public Sector, Professional Services (billable, hands-on delivery), Partner SA, and GenAI or ML specialist SA.

Professional Services emphasizes hands-on delivery and is more likely to use a written work-sample. Public sector roles emphasize presentation skills.

## Additional resources

- [Amazon Solutions Architect Interview Course](https://www.aced.io/courses/amazon-solution-architect-interview)
- [Solutions Architect Behavioral Course](https://www.aced.io/courses/solutions-architect-behavioral)
- [System Design Interview Course](https://www.aced.io/courses/system-design-interviews)
- [Amazon Leadership Principles Course](https://www.aced.io/courses/amazon-leadership-principles)
- [Amazon Solutions Architect Interview Questions](https://www.aced.io/questions?company=amazon&role=solutions-architect)
- [Amazon Behavioral Interview Questions](https://www.aced.io/blog/how-to-nail-amazons-behavioral-interview-questions)
- [Amazon Solutions Architect Interview Experiences](https://www.aced.io/experiences?company=amazon&role=solutions-architect)
- [Interviewing at Amazon](https://www.aced.io/companies/amazon)

## FAQs about the Amazon solutions architect interview

### How many rounds is the Amazon solutions architect interview?

The usual structure has four stages: online assessment, recruiter call, technical screen, and an onsite loop of **4–6 interviews**. The onsite covers system design, one or more technical deep-dives, multiple Leadership Principle rounds, and a presentation or written work-sample. Exact count and order vary by team; the full process usually takes several weeks to two months.

### Does the Amazon solutions architect interview include coding?

It does not use algorithm coding challenges like a software engineering loop. It focuses on system design, cloud infrastructure, and Leadership Principles. Candidates explain and defend architectures without writing code in a shared editor, including service trade-offs, high availability, and cost.

### How hard is the Amazon solutions architect interview?

Candidates rate its difficulty around **3.5 out of 5**. About **43%** report a positive experience, compared with roughly **58%** for Amazon overall. Candidates often describe the loop as broad, lengthy, and more draining than comparable roles at other large technology companies.

### Is Amazon still hiring solutions architects?

Amazon continues hiring for cloud and AI roles after large corporate layoffs in late 2025 and early 2026. The company cut roughly **30,000 corporate positions** to flatten its management structure while continuing to invest in AI and AWS. The guide describes a selective bar and, in some cases, a return to onsite interviews as companies restrict AI assistance during interviews.

### Is the Amazon solutions architect role customer-facing?

Yes. It is a customer-facing, pre-sales role that tests communication and consulting as well as technical depth. Solutions architects design AWS solutions, run proofs of concept and workshops, and explain trade-offs to technical and business audiences. Presentations or objection-handling may be part of the loop.

### Can you use AI tools during the Amazon interview?

Do not use generative AI during an Amazon interview unless the interviewer explicitly permits it. Unauthorized use can disqualify you. Keep AI for preparation, such as practicing Leadership Principle stories and testing system designs, then answer unaided during the interview.

### How much does an Amazon solutions architect make?

Reported compensation ranges from Levels.fyi, stated as of **July 2026**, are:

| Level | Reported package |
|---|---:|
| SA I (L4) | ~$166K |
| SA II (L5) | ~$237K |
| SA III (L6) | ~$303K |
| Principal SA (L7) | ~$435K |

Reported packages range from roughly **$169K** at entry to **$435K or more** at the principal level, with a median package around **$279K**. Compensation combines base salary, stock, and a sign-on bonus; the stock share grows sharply at senior levels.

## Continue preparing with Aced

Aced is a tech interview preparation platform offering free interview guides, insider tips, courses, [practice](https://www.aced.io/practice), and [coaching](https://www.aced.io/coaching). [Create your free account](https://www.aced.io/signup?src=guide).

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