ApplySarthi

Principal Data and Agentic Architect , Professional Services

Amazon Web Services

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What architect roles keep asking for: AWS (30%), Python (18%), Azure (16%), GCP (13%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. Tell me about yourself, and why this role is the right next step.
  4. Tell me about a problem you solved at work that you are proud of.
  5. Tell me about a time you disagreed with your manager. What happened?

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AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers Basic qualifications: - Bachelor's degree in Computer Science, Physics, Engineering or Math - 5+ years of practical work applying ML to solve complex problems for large-scale applications experience - 8+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 7+ years of IT platform implementation in a technical and analytical role experience Preferred: - Master's degree or equivalent in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop) - Experience using managed ML/AI solutions - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments - AWS Professional level certification, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 4+ years of professional work experience, or experience with AWS services or other cloud offerings - Generative AI trends, patterns, anti-patterns 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.

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Listed on amazon · posted 2026-07-13. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.