AWS Agentic AI Architect – AWS Bedrock Specialist

Employment Type: Full-Time (FTE)

Experience: 6+ Years

Location: Hyderabad Preferred (Pan India)

Work Mode: Hybrid – 3 Days Work from Office

Working Hours: 12:00 PM – 9:30 PM IST

Open Positions: 3

Budget : Upto 21 LPA

Role Overview

Seeking an experienced AWS Agentic AI Architect to design and implement enterprise-grade Agentic AI solutions using Amazon Bedrock, AWS AgentCore, Knowledge Bases, and RAG architectures. The role involves AI solution architecture, intelligent agent development, cloud integration, security, and performance optimization.

Key Responsibilities

Design and implement Agentic AI solutions using AWS Bedrock, Foundation Models, Agents, Guardrails, and Knowledge Bases.

Develop intelligent agents with AgentCore, including orchestration, planning, memory, and tool integrations.

Build RAG-based applications using vector databases and integrate AI agents with enterprise APIs, databases, and business systems.

Architect scalable, secure, and cost-optimized AI solutions using AWS services.

Implement AI governance, security, compliance, and responsible AI practices.

Define solution architecture, conduct technical assessments, guide implementation, and collaborate with stakeholders.

Mandatory Skills

Hands-on experience designing and implementing Agentic AI solutions using AWS.

Robust expertise in Amazon Bedrock, including Foundation Models, Agents, Guardrails, and Knowledge Bases.

Knowledge of AWS AgentCore, agent orchestration, planning, memory, and tool integration.

Experience building RAG applications using vector databases.





Strong understanding of LLM architectures, prompt engineering, agent workflows, and autonomous AI systems.

Experience integrating AI agents with enterprise systems, APIs, and databases.

Knowledge of AWS Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS/EKS, IAM, and Step Functions.

Expertise in cloud-native AI architecture, security, governance, and cost optimization.

Strong analytical, problem-solving, communication, and stakeholder management skills.

Mandatory AWS Certification: AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Machine Learning – Specialty, or equivalent certification.

Good to Have

Multi-agent systems and frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.

Enterprise RAG solutions using Amazon OpenSearch, Pinecone, Weaviate, or similar vector databases.

Model evaluation, AI observability, monitoring, performance optimization, and prompt tuning.

LLM fine-tuning, MLOps, CI/CD, and AI application deployment.

Data engineering and integration of structured and unstructured data.

Responsible AI, AI governance, and compliance frameworks.

Exposure to Azure OpenAI, Google Vertex AI, conversational AI, chatbots, and virtual assistants.

Experience leading architecture discussions, technical workshops, and mentoring teams.

Preferred Certifications

AWS Certified AI Practitioner

AWS Certified Machine Learning – Specialty

AWS Certified Solutions Architect – Associate/Professional

AWS Certified Developer – Associate

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Email: [email protected]

Work Location: Hybrid remote in Hyderabad, Telangana

📌 AWS Agentic AI Architect – AWS Bedrock Specialist (Hyderabad)
🏢 Surbhi P
📍 Hyderabad