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 - Qualified

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 (Hyderabad)
🏢 Sonata Software
📍 Hyderabad