Senior AI Solution Architect, Amazon

Architect
Karnataka, India, Bengaluru
June 15, 2026
Full Time Hybrid

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Job Description

Amazon Web Services (AWS) is looking for a Senior AI Solution Architect who will develop operational AI systems from enterprise AI project requirements. The position requires the applicant to design and build GenAI/ML and Agentic AI systems while working with both customers and internal teams to develop secure and efficient AI architectures that meet compliance standards. The candidates will develop reference architectures and technical materials which will help AWS customers throughout the world.

Qualification: Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related field

Experience: 7+ years in distributed applications and AI/ML solution architecture

Job Type: Full Time / Hybrid

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Main Duties:

  • Build trusted technical relationships and guide documents on GenAI/ML and Agentic AI adoption.
  • Design scalable, secure, and resilient AI architectures using AWS Bedrock, SageMaker, and AgentCore.
  • Lead workshops, produce reference architectures, and evangelize best practices for AI workloads.
  • Collaborate with engineering and business stakeholders to translate AI requirements into production-ready systems.
  • Ensure compliance, observability, and operational efficiency across deployed AI and cloud solutions.

Essential Qualifications:

  • 7 years of experience designing and building distributed AI and machine learning systems which operate at large scale. 
  • Practical experience in deploying large language models along with RAG pipelines and embeddings and vector stores and semantic search optimization. 
  • Demonstrates expertise in using the complete AWS AI ecosystem which includes Bedrock and SageMaker and AgentCore. 
  • Possesses strong abilities for solving problems and communicating effectively and leading technical projects. 
  • Designed cloud-native AI systems which operate safely in controlled environments that require compliance with security regulations.

Preferred Skills:

  • Expertise in GenAI and machine learning together with multi-agent orchestration frameworks used in Agentic AI systems.
  • Knowledge about responsible AI tools which include mechanisms for model explainability and bias detection.
  • Persuade C-level executives while managing technical teams that include members from different departments.
  • Developed artificial intelligence solutions for industries that face strict regulatory requirements such as finance and healthcare.
  • Master’s degree or PhD in computer science or machine learning or another quantitative field that is equivalent.

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