AWS AI Architect

Role 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 - Professional

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.

Valuable to have

- AWS certification or active AWS certification plan.

- Experience in reusable assets, accelerators, cloud competency building, customer workshops or proposal support.

📌 AWS AI Architect (Bengaluru)
🏢 Sonata Software
📍 Bengaluru