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AWS Agentic AI Architect – AWS Bedrock Specialist
Job Location:
Monthly Salary:
Experience Required:
Posted:
13 October 2026 (10 days ago)
Posted:
Application Deadline:
10 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 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.
Required Skills:
PRIMARY SKILLS AWS Bedrock Agentic AI Solutions AWS AgentCore Knowledge Bases & Intelligent Agent Development SECONDARY SKILLS Generative AI RAG Architecture & LLM Integration AWS Cloud Architecture & AI Platform Engineering
Required Education:
Bachelors degree in computer science Engineering or related field
