Senior Specialist - Data Sciences (AWS Bedrock / Agentic AI)

Location: Hyderabad Experience: 7–11 Years About the Role We are seeking an experienced AWS Agentic AI Architect with strong expertise in Amazon Bedrock and enterprise AI solution architecture. The role focuses on designing secure, scalable, and cost-effective Agentic AI, RAG, and LLM-powered solutions on AWS.

You will work with business and technology stakeholders to translate requirements into AI-driven solutions and provide architecture and implementation guidance.

Job Description

The role involves designing and implementing Agentic AI solutions using AWS services, with deep expertise in Amazon Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases.

You will develop intelligent agent solutions incorporating orchestration, planning, memory, tool integration, and enterprise system connectivity.

You will architect Knowledge Base-driven applications using vector databases and Retrieval-Augmented Generation (RAG) , while integrating Bedrock Agents with APIs, databases, and business applications.

The position requires strong understanding of LLM architectures, prompt engineering, agent workflows, autonomous AI systems, and cloud-native AI platform engineering.

The candidate will also establish governance, security, compliance, and responsible AI practices, perform technical assessments, and guide implementation teams. Strong communication and stakeholder management skills are required for architecture discussions, technical workshops, and cross-functional collaboration.

Key Responsibilities

Design and implement Agentic AI solutions using AWS services and Amazon Bedrock . Architect solutions using Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases. Develop agent orchestration capabilities covering planning, memory, and tool integrations.

Build enterprise RAG and Knowledge Base solutions using vector databases. Integrate Bedrock Agents with enterprise APIs, databases, and business applications. Design scalable, secure, and cost-optimized cloud