Agentic AI Solutions Architect
First seen by Alion on Sep 29, 2026.
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).
Skills
Agentic AI, Solution Design, Solution Architect, AI Architecture, AWS, AWS Bedrock, Solution Implementation, RAG, VectorDB