Senior AI Specialist Solutions Architect, AWS
Amazon Web Services
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This role on the market
2,992 open solutions roles across 321 companies are on ApplySarthi right now, most of them in Bengaluru (104), Mumbai (35), Hyderabad (23).
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What solutions roles keep asking for: AWS (32%), Python (19%), Customer success (15%), Azure (15%), GCP (13%) — counted across their open postings here.
AWS jobs · LLMs jobs · MLOps jobs · Machine learning 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.
Preparing for this interview
Interviews for solutions roles keep coming back to AWS, Python, Customer success, 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.
- 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 Senior AI Specialist Solutions Architect, AWS at Amazon Web Services interview free →Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solutions Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep Basic qualifications: - 7+ years of in design/implementation/operations/consulting with distributed applications experience - 4+ years of management of technical, enterprise customer facing resources or equivalent experience - 5+ years of design/implementation of production AI systems. - Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps. Preferred: - Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization. - Able to effectively communicate across an increasing diversity of audiences internally and externally - Ability to influence customer and internal business decision makers as a technical thought leader - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) - Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes - Ability to lead a team or small organization-wide initiative with business objectives that are partially defined - Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning, and RLHF to optimize for specific domain tasks. 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 2026-07-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.