About the role
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.
RequirementsRequirements:
- 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.