Architect and deploy scalable generative AI and autonomous agent solutions on AWS, specializing in AWS Bedrock, AgentCore, RAG, Knowledge Bases, and LLM integrations. The role leads AI platform engineering across model lifecycle management, infrastructure, security, performance, and cost optimization while translating enterprise requirements into secure technical architectures.
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.
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