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.


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