Manager, AI Platform Engineering , Agent Platform Organization
Amazon
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This role on the market
62 open organization roles across 15 companies are on ApplySarthi right now, most of them in Bengaluru (2), Mumbai (1), Delhi NCR (1).
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What organization roles keep asking for: AWS (34%), Supply chain (24%), Stakeholder management (21%), Excel (16%), Customer success (13%), Generative AI (13%) — counted across their open postings here.
Data modelling jobs · Generative AI jobs · Observability jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for organization roles keep coming back to AWS, Supply chain, Stakeholder management, Excel. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Data modelling? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Manager, AI Platform Engineering , Agent Platform Organization at Amazon interview free →We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines, models, and platform infrastructure that power core analytics, Basic qualifications: - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps - - 7+ years of working directly within data engineering or closely related teams, with hands-on contribution to data platform and pipeline delivery - - 3+ years of designing or architecting data systems, including data modeling, pipeline patterns, reliability, and scaling strategies - - 5+ years of experience building or leading development of data pipelines and cloud-native data infrastructure (e.g., data warehouses, data lakes, event-driven architectures, orchestration platforms) Preferred: - - Experience leading teams that use generative AI tools and AI development IDEs to accelerate engineering work - - Familiarity with multi-agent solutions that automate workflows (e.g. pipeline generation, data quality, testing, operational response) - - Familiarity with at least one agentic AI development IDE (e.g. Kiro, Cursor, Claude Code, Codex) - - Experience building or overseeing shared data models, semantic layers, or data contracts - - Familiarity with data governance, cataloging, or lineage tracking practices - - Experience contributing to or overseeing shared platform infrastructure, developer tooling, or self-service data services - - Familiarity with observability tooling for data pipelines and data platform operations 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 154,200.00 - 257,600.00 CAD annually
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Listed on amazon · posted 2026-04-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.