AWS Agentic AI Architect – AWS Bedrock Specialist

Job Title: AWS Agentic AI Architect – AWS Bedrock Specialist

Employment Type: Full-Time (FTE)
Experience: 6+ Years
Location: Hyderabad preferred; candidates from across India may apply
Work Mode: Hybrid – 3 Days Work from Office
Working Hours: 12:00 PM – 9:30 PM IST
Open Positions: 3
Salary Budget: Up to ₹21 LPA

Job Summary

We are looking for an experienced AWS Agentic AI Architect to design and implement enterprise-grade Agentic AI solutions using Amazon Bedrock, AWS AgentCore, Knowledge Bases, and Retrieval-Augmented Generation (RAG) architectures.

The role involves AI solution architecture, intelligent agent development, cloud integration, security, governance, and performance optimization.

Key Responsibilities

• Design and implement Agentic AI solutions using Amazon Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases.
• Develop intelligent agents using AWS AgentCore, including orchestration, planning, memory, and tool integrations.
• Build RAG-based applications using vector databases.
• Integrate AI agents with enterprise APIs, databases, and business systems.
• Design scalable, secure, and cost-efficient AI solutions using AWS services.
• Implement AI governance, security, compliance, and responsible AI practices.
• Define solution architecture, conduct technical assessments, and guide implementation.
• Collaborate with technical teams and business stakeholders to deliver AI solutions.

Mandatory Technical Skills

• Hands-on experience designing and implementing Agentic AI solutions using AWS.
• Strong expertise in Amazon Bedrock, including Foundation Models, Agents, Guardrails, and Knowledge Bases.
• Knowledge of AWS AgentCore, agent orchestration, planning, memory, and tool integration.
• Experience developing RAG applications using vector databases.
• Strong understanding of Large Language Models (LLMs), 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.
• Understanding of 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 an equivalent certification.

Good to Have

• Experience with multi-agent systems and frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
• Experience building enterprise RAG solutions using Amazon OpenSearch, Pinecone, Weaviate, or similar vector databases.
• Knowledge of model evaluation, AI observability, monitoring, performance optimization, and prompt tuning.
• Exposure to LLM fine-tuning, MLOps, CI/CD, and AI application deployment.
• Experience with data engineering and structured and unstructured data integration.
• Understanding of responsible AI, AI governance, and compliance frameworks.
• Exposure to Azure OpenAI, Google Vertex AI, conversational AI, chatbots, and virtual assistants.
• Experience leading architecture discussions, conducting technical workshops, and mentoring teams.

Preferred Certifications

• AWS Certified AI Practitioner
• AWS Certified Machine Learning – Specialty
• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified Developer – Associate

Education

A relevant bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is preferred.

Please include your total experience, relevant Agentic AI experience, Amazon Bedrock expertise, AWS certifications, current location, and notice period in your application.

Pay: Up to ₹2,100,000.00 per year

Work Location: Hybrid remote in Hyderabad, Telangana 500050