Sr Solutions Architect GenAI, Automotive & Manufacturing GenAI
Amazon Web Services
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This role on the market
1,185 open manufacturing roles across 87 companies are on ApplySarthi right now, most of them in Hyderabad (9), Bengaluru (8), Delhi NCR (5).
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Generative AI jobs · LLMs jobs · LangChain jobs
Amazon Web Services has 2,164 open roles listed here.
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- Sr Solutions Architect, ISV PE, ISV, Private Equity
- Sr. Technical Account Manager, ES - WWPS
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
1,185 open manufacturing roles are hiring right now across 87 companies, mostly in Hyderabad — so the questions repeat. Practise them before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- 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?
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Practise the Sr Solutions Architect GenAI, Automotive & Manufacturing GenAI at Amazon Web Services interview free →Are you passionate about pioneering the future of generative AI and eager to help global enterprises solve real-world challenges using AI solutions? The Automotive & Manufacturing Generative AI Solutions Basic qualifications: - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience in design, implementation, or consulting in applications and infrastructures - Experience in IT development or implementation/consulting in the software or Internet industries - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Preferred: - Experience designing, developing, and optimizing prompts and templates that guide LLM behavior - Experience with design, deployment, and evaluation of LLM-powered agents and orchestration - Experience with AI system evaluation methodologies, including LLM evaluation frameworks, automated testing pipelines, and AIOps practices for monitoring and operating AI workloads at scale - Experience with robotics, autonomous systems, or Physical AI development - Experience with building AI applications powered by language models with frameworks like LangChain, Strands, or others Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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 2026-07-14. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.