Role Summary :

We are looking for an AWS Bedrock Agentic AI Solutions Architect to design and implement enterprise-grade Agentic AI solutions on AWS. The role requires strong hands-on expertise in Amazon Bedrock, AWS AgentCore, Knowledge Bases, and Retrieval-Augmented Generation (RAG), along with the ability to architect scalable, secure, and cost-optimized cloud-native AI solutions.

Key Responsibilities :

- Design and implement Agentic AI solutions using AWS services, including Amazon Bedrock and AWS AgentCore.

- Build Knowledge Base-driven AI applications using vector databases and Retrieval-Augmented Generation (RAG).

- Integrate Bedrock Agents with enterprise systems, APIs, databases, and business applications.

- Define AI solution architecture, perform technical assessments, and provide implementation guidance.

- Design agent orchestration, planning, memory, and tool integrations using AWS AgentCore.

- Architect scalable, secure, and cost-optimized cloud-native AI solutions on AWS.

- Implement governance, security, compliance, and responsible AI practices across AI solutions.

- Lead architecture discussions and technical workshops, and mentor development teams.

Tech Stack :

- Amazon Bedrock (Foundation Models, Agents, Guardrails, Knowledge Bases), AWS AgentCore, Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, Step Functions.

Experience & Qualifications :

- 6+ years of overall experience, with strong hands-on expertise in Amazon Bedrock, AWS AgentCore, and Agentic AI solution design.

- AWS Certification is mandatory : AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Machine Learning - Specialty, or equivalent.

Ways of Working :

- Working Mode : Hybrid - 3 days from office.

- Work Timing : 12 : 00 PM - 9 : 30 PM IST.

- Location : Hyderabad - Preferred (Pan India).