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Amazon

Bedrock, Nova models and Alexa+; Leadership Principles come up in every round

Target this company

Interview in a few hours? A quick sprint for Amazon

AI in interviews

medium confidence

Don't use GenAI tools in interviews unless explicitly told you may; Amazon has warned candidates that doing so can get them disqualified. Some SDE coding assessments now include a built-in AI assistant, and that is the only AI to use there.

Checked 20 Oct 2026Source

Typical interview loop

How Amazon usually runs it for applied AI and LLM engineer roles.

  1. Online assessment (some roles)

    Focus: Coding and work style

    A timed coding and systems-design exercise plus a work-style survey tied to the Leadership Principles.

  2. Technical phone screen

    Focus: ML fundamentals, coding, LPs

    One or two 60-minute screens with a senior team member mixing technical and behavioral questions.

  3. Loop: coding

    Focus: Problem solving and coding

    A 55-minute round where you write working, tested code rather than pseudocode.

  4. Loop: ML breadth and depth

    Focus: ML knowledge breadth and depth

    Rounds that sweep across core ML topics and then dig deep into one area, often your own projects.

  5. Loop: ML application / system design

    Focus: Applied ML design

    An open-ended business problem where you design a production ML solution, metrics and failure handling.

  6. Bar Raiser

    Focus: LPs, ownership, judgment

    An independent senior interviewer from outside the team who probes Leadership Principles and holds veto power.

How it weights your plan

Selecting Amazon when you build a plan multiplies each topic’s priority score:

Behavioral+40%
ML fundamentals+30%
System design+10%

Official prep and resources

Public candidate write-ups

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