Senior Applied AI Solutions Architect – Amazon Connect, Applied AI
Amazon Web Services
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3,528 open solutions roles across 499 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (33), Delhi NCR (30).
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What solutions roles keep asking for: AWS (30%), Python (22%), Stakeholder management (16%), Azure (16%), Customer success (16%), SaaS (14%), GCP (14%), Product management (14%) — counted across their open postings here.
AWS jobs · Generative AI jobs · LLMs jobs · Python jobs
Amazon Web Services has 2,245 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for solutions roles keep coming back to AWS, Python, Stakeholder management, Azure. Practise those questions 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 AWS? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Senior Applied AI Solutions Architect – Amazon Connect, Applied AI at Amazon Web Services interview free →This position sits within the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their technology domains and provide the business and technical expertise Basic qualifications: - 7+ 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 - 3+ years of hands-on coding experience with REST APIs and web services, including integrating agentic or generative AI into working applications. - Full-stack development experience across front-end and back-end. - Cloud experience (AWS preferred) across compute, database, integration, identity, networking, and automated packaging and deployment. - Hands-on experience with large language models (LLMs), prompt engineering, agent memory and context management, retrieval-augmented generation (RAG), and model evaluation. - Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability protocols. Preferred: - Knowledge of security and compliance standards including HIPAA and GDPR - Hands-on experience with Amazon Connect and its AI capabilities. - Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails. - 2+ years designing and implementing conversational AI (voice or chat) with a framework such as Amazon Lex. - Experience with agentic AI patterns such as multi-agent orchestration, tool use, function calling, chain-of-thought reasoning, and autonomous agent workflows. - Experience building and deploying MCP servers that expose enterprise tools and APIs for dynamic agent tool discovery. - Experience applying the AWS Well-Architected Framework to production systems. - Experience with automation and scripting (for example, Terraform and Python). - Experience building demos, proofs-of-concept, or interactive product experiences. 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 - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
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Listed on amazon · posted 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.