Senior Manager, Applied Science
Amazon
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This role on the market
1,023 open applied roles across 124 companies are on ApplySarthi right now, most of them in Bengaluru (100), Hyderabad (17), Delhi NCR (6).
- Applied AI Engineer, EnterpriseAnthropic
- Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)Target
- Technical Program Manager, Global Programs — Applied AI EngineeringOpenai
- Senior Applied ML Engineer (Agentic Search)Nebius
- Applied AI EngineerBjak
What applied roles keep asking for: Python (59%), Machine learning (45%), Java (36%), C++ (36%), LLMs (28%), Deep learning (22%), AWS (17%), Generative AI (16%) — counted across their open postings here.
LLMs jobs · Machine learning jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- 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 applied roles keep coming back to Python, Machine learning, Java, C++. 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 LLMs? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Senior Manager, Applied Science at Amazon interview free →We are seeking a Senior Manager, Applied Science to build and lead the science organization across Agentic WorkSpaces. This is a foundational leadership role spanning the full portfolio — Personal, Applications, Basic qualifications: - PhD or Master's in Computer Science, Machine Learning, or a related field, or equivalent applied research experience - 10+ years of applied science experience, including 3+ years managing and growing teams of scientists - Experience setting research direction and strategy across multiple teams and organizations - Deep expertise in modern ML, including LLMs / foundation models and evaluation methodology - Track record of delivering complex, ambiguous research initiatives from concept through production in enterprise environments Preferred: - Experience leading science teams working on AI agents, tool use, computer-use / GUI-grounded agents, or autonomous systems - Experience building science teams from an early stage, including hiring at senior and principal levels - Experience designing benchmarks, evaluation harnesses, and metrics for non-deterministic or agentic systems - Experience with agent safety, grounding, guardrails, or reliability for LLM-based systems - Familiarity with enterprise constraints: security, auditability, and compliance frameworks (NIST, SOC2, FedRAMP, HIPAA) - A record of scientific leadership evidenced by publications, patents, or open-source contributions - Experience influencing technical direction at VP+ level in a large technology organization 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 240,600.00 - 325,500.00 USD annually USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually
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Listed on amazon · posted 2026-09-11. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.