AWS Agentic AI Architect – AWS Bedrock Specialist

Vrinda International; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Vrinda International seeks an AWS Agentic AI Architect with deep AWS Bedrock expertise to design scalable intelligent agent platforms for enterprise use. The role focuses on integrating LLMs, RAG workflows, and autonomous agents within secure cloud-native architectures.

You will lead cross-functional collaboration to define standards, optimize performance, and manage model lifecycles from training to deployment, leveraging AWS Bedrock AgentCore and related data sources.

Qualifications

• 6+ years in cloud architecture with AWS focus.
• Expert in generative AI and production integration of LLMs.
• Experience with serverless, containers, and IaC for AI workloads.

Responsibilities

• Design scalable architectures for generative AI using AWS Bedrock.
• Develop RAG frameworks connecting LLMs to proprietary data.
• Integrate LLMs into enterprise systems optimizing performance and cost.
• Build AI platform engineering pipelines for model lifecycle.
• Develop agent solutions using AWS AgentCore and Knowledge Bases.
• Define security standards and best practices for AI initiatives.
• Evaluate new AI tools to enhance agentic infrastructure.

Skills

Cloud architecture

Generative AI

RAG frameworks

AgentCore

Knowledge bases

AI platform engineering

Tools

AWS Bedrock

AWS AgentCore

Terraform

Kubernetes

Lambda

Job description

AWS Agentic AI Architect – AWS Bedrock Specialist

Job Description

AWS Agentic AI Architect – AWS Bedrock Specialist

Summary

We are seeking a highly skilled AWS Agentic AI Architect with deep expertise in AWS Bedrock to lead the design and implementation of next-generation intelligent agent solutions. In this pivotal role, you will bridge the gap between advanced generative AI capabilities and enterprise-scale cloud infrastructure. You will be responsible for architecting robust, scalable, and secure AI platforms that leverage Large Language Models (LLMs) to drive automation, enhance decision-making, and create innovative customer experiences. This position demands a strategic thinker who can translate complex business requirements into technical blueprints for agentic systems, ensuring they operate seamlessly within the AWS ecosystem.

Responsibilities

• Design and deploy scalable architectures for generative AI applications utilizing AWS Bedrock, focusing on the development of autonomous agents and multi-step reasoning workflows.
• Engineer Retrieval-Augmented Generation (RAG) frameworks to connect LLMs with proprietary data sources, ensuring high accuracy and context-aware responses.
• Lead the integration of Large Language Models into existing enterprise systems, optimizing for performance, latency, and cost-efficiency.
• Architect and implement AI platform engineering solutions that support the lifecycle management of models, from training and fine-tuning to deployment and monitoring.
• Develop intelligent agent solutions using AWS AgentCore and Knowledge Bases, enabling agents to interact with external tools, retrieve information, and execute tasks autonomously.
• Collaborate with cross-functional teams to define technical standards, best practices, and security protocols for AI-driven initiatives.
• Evaluate emerging AI technologies and tools to recommend improvements that enhance the capabilities of our agentic infrastructure.

Requirements

Requirements:

• Minimum of 6 years of professional experience in cloud architecture, with a strong specialization in AWS services.
• Proven expertise in Generative AI, including hands-on experience with RAG architectures and the integration of Large Language Models into production environments.
• Deep knowledge of AWS Cloud Architecture, specifically regarding serverless computing, containerization, and networking for AI workloads.
• Demonstrated proficiency in AI Platform Engineering, including the management of model registries, pipelines, and infrastructure as code.
• Extensive background in building AWS Bedrock Agentic AI Solutions, with a specific focus on utilizing AWS AgentCore for agent orchestration.
• Strong capability in developing Knowledge Bases and designing Intelligent Agent workflows that solve complex business problems.
• Experience working within the IT Services industry, delivering high-quality technical solutions to diverse clients.