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Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Amazon Web Services, Inc.

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This role on the market

233 open worldwide roles across 28 companies are on ApplySarthi right now, most of them in Hyderabad (6), Bengaluru (5), Mumbai (2).

What worldwide roles keep asking for: Excel (32%), AWS (23%), Supply chain (18%), SaaS (17%), Accounting (17%), ERP (16%), Generative AI (16%), Machine learning (13%) — counted across their open postings here.

AWS jobs · Deep learning jobs · Generative AI jobs · IAM jobs

Amazon Web Services, Inc. has 1,234 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for worldwide roles keep coming back to Excel, AWS, Supply chain, SaaS. Practise those questions before you sit with Amazon Web Services, Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services, Inc.?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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Practise the Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM at Amazon Web Services, Inc. interview free →

Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and Basic qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading engineering teams as a mentor or tech lead - Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. - Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches. - 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch. - 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture. - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience. - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science. Preferred: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience making strategic business decisions and managing internal relationships, or experience troubleshooting problems and offering solutions to streamline complex challenges - Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience leading engineering teams as a mentor or tech lead Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Irvine - 153,600.00 - 207,800.00 USD annually USA, CA, Palo Alto - 176,600.00 - 239,000.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually

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Listed on amazon · posted 2026-09-10. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, Inc., not by us.