Sr. GenAI Specialist PSA , Solutions Architecture
Amazon Web Services
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What architecture roles keep asking for: AWS (24%), GCP (16%), Python (15%), Azure (13%), SaaS (13%) — counted across their open postings here.
AWS jobs · CI/CD jobs · Elasticsearch jobs · Generative AI jobs
Amazon Web Services has 2,164 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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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.
- What would you check first if a model's accuracy dropped after going live?
- 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.
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Practise the Sr. GenAI Specialist PSA , Solutions Architecture at Amazon Web Services interview free →Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on Sr. Partner Solutions Architect (PSA) focused on Generative AI. In this role, you will work directly with AWS Basic qualifications: - 7+ years of design/implementation/operations/consulting with distributed applications experience - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 5+ years customer-facing experience building production AI/ML systems - Hands-on GenAI implementation: LLM integration, RAG (vector databases, semantic search), agentic workflows, prompt engineering, model evaluation, and inference optimization - Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, AgentCore) or equivalent cloud AI platforms Preferred: - Production GenAI track record — Demonstrated experience shipping GenAI/LLM applications to production at scale, not just POC/prototype stage. - Agentic AI depth — building multi-step, tool-using agents with orchestration frameworks (Bedrock Agents, Strands Agents SDK, LangChain, or custom) - MLOps/LLMOps — CI/CD pipelines, model versioning, monitoring, and automated evaluation - Vector database expertise (OpenSearch Serverless, pgvector, Pinecone) - Multi-modal AI — Experience working with vision-language models, image generation, or audio/video understanding models. - Security & governance — guardrails, responsible AI, compliance in enterprise settings - AWS Certifications (ML Specialty, SA Professional) preferred - 10+ years in software engineering, AI/ML, or cloud architecture 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, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
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Listed on amazon · posted 2026-07-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.