Level

AmazonPosted 3w ago

Software Engineer, Cross Border Science and Analytics

Software Engineer, Cross Border Science and Analytics at Amazon scores 88 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

IN, KA, Bengalurumidfull-time

AI in this role

sagemaker
ai-agents
We are looking for a Software Development Engineer to join the XB Science team — a centralized applied science function that builds and deploys ML-powered systems driving cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces. The SDE will partner directly with Applied Scientists to productionize, scale, and operationalize ML models that generate $100M+ in business impact annually.

Key job responsibilities
Own the end-to-end production deployment and scaling of ML models — from SageMaker training pipelines to real-time/batch inference endpoints serving millions of ASINs across 20+ country arcs
Build and maintain automated ML pipelines: data ingestion, feature engineering, model retraining, inference orchestration (Cradle, SageMaker, Glue, S3, Lambda)
Architect for zero-code-change market expansion — design systems that scale to new countries, languages, and programs through configuration rather than re-engineering
Own production excellence: monitoring, alerting, on-call, runbooks, SLA adherence, latency/IMR optimization, and HOTW compliance
Build agentic AI infrastructure — orchestration frameworks, tool-use APIs, and guardrails for AI agents

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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.

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

AI AgentsSagemaker

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Sagemaker in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Agents and Sagemaker. 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.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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