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-effective 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.
- Robust 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

📌 AWS Agentic AI Architect – AWS Bedrock Specialist (Hyderabad)
🏢 Omisha Soni Pvt.Ltd
📍 Hyderabad