LG
AWS AI Architect – AI Platform
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
- Sep 27, 2026
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AWS AI Architect – AI Platform
About the project
We are looking for an experienced AWS / Cloud Architect with AI & GenAI expertise to join a project focused on building a new AI platform for creating and running different AI agents.
The role combines AWS architecture, cloud infrastructure and Generative AI, with a strong focus on services such as Amazon Bedrock.
Responsibilities
- Design and develop the architecture of a scalable AI platform on AWS.
- Select and integrate appropriate AWS services and AI/ML components.
- Design architecture for GenAI and AI Agent solutions.
- Work with Amazon Bedrock and related AWS AI services.
- Ensure scalability, security, reliability and observability of the platform.
- Design and support CI/CD, Infrastructure as Code and DevOps processes.
- Collaborate with AI/ML, Software Engineering and DevOps teams.
- Make architectural decisions around infrastructure, integrations and deployment of AI agents.
- Consider IAM, networking, security, governance and cost optimisation.
Requirements
- Several years of hands-on experience designing and implementing solutions on AWS.
- Experience as an AWS / Cloud Architect, Solution Architect, DevOps Architect or similar.
- Strong knowledge of AWS services, including Amazon Bedrock, Lambda, ECS/EKS, S3, IAM, VPC, API Gateway, CloudWatch and event-driven services.
- Practical understanding of Generative AI, LLMs and AI Agents.
- Experience designing solutions using Amazon Bedrock or similar GenAI platforms.
- Knowledge of Infrastructure as Code (Terraform, CloudFormation or CDK).
- Good understanding of DevOps, CI/CD and cloud security.
- Ability to design production-ready, scalable cloud solutions.
Nice to have
- Experience building AI / GenAI platforms.
- Knowledge of RAG, embeddings, vector databases and tool/function calling.
- Experience with Agentic AI / AI Agent architectures.
- AWS certifications, especially Solutions Architect – Professional or AI/ML-related certifications.
- Experience with Kubernetes / EKS.