ole Summary

The AWS AI Architect will design enterprise AI, ML and GenAI architectures using Bedrock, SageMaker, RAG, agentic AI, foundation models and vector database patterns.

Required Primary Skills
Amazon Bedrock
Amazon SageMaker
AI architecture
RAG
Foundation models
Model evaluation

Secondary Skills
Vector databases
LangChain / LlamaIndex
MLOps
Responsible AI guardrails
Architecture governance

Technical Skills
Amazon Bedrock, SageMaker, foundation models and AWS AI services
RAG, embeddings, vector databases and AI orchestration frameworks
MLOps, model monitoring, guardrails and evaluation approaches
Architecture governance, security and stakeholder consulting

Key Responsibilities
Define AI / ML / GenAI architecture and reference patterns.
Design RAG, model orchestration, evaluation and integration approaches.
Guide model selection, data readiness, security and responsible AI principles.




Lead discovery, solution planning and architecture reviews.
Provide technical leadership to AI leads and engineers.

Preferred Certifications
AWS Certified AI Practitioner
AWS Certified Machine Learning Engineer - Associate
AWS Certified Solutions Architect - Associate
AWS Certified Solutions Architect - Skilled

Expected Deliverables
AI / GenAI reference architecture
Solution blueprint and architecture decisions
Model evaluation and responsible AI guidance
Implementation roadmap

Qualification
B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline.
Hands-on delivery experience aligned to the stated experience range and role scope.

📌 Aws Ai Architect Bengaluru (India)
🏢 Sonata Software
📍 India