AWS AI Architect

Sonata Software; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Sonata Software is seeking an AWS AI Architect to design enterprise AI, ML and GenAI architectures using Bedrock, SageMaker, RAG and vector patterns. You will define reference architectures and lead architecture reviews.

The role emphasizes hands-on delivery, model evaluation, security and responsible AI, with guidance to AI leads and engineers. Strong communication with stakeholders and a track record in cloud AI services is essential.

Qualifications

• B.E. / B.Tech / M.Tech / MCA or equivalent degree in CS/IT/Engineering.
• Hands-on delivery experience aligned to the stated experience range and role scope.

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.

Skills

Amazon Bedrock

Amazon SageMaker

AI architecture

RAG

Foundation models

Model evaluation

Vector databases

LangChain

LlamaIndex

MLOps

Responsible AI guardrails

Architecture governance

Education

B.E. / B.Tech / M.Tech / MCA or equivalent

Job description

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 - 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.