Neurons Lab

AI Cloud Solution Architect, Engineer

Neurons Lab

part-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerFlaskKubernetesLinuxPythonTerraformUnix

About the role

  • Deliver end-to-end AI cloud solutions by combining architectural excellence with hands-on engineering capabilities
  • Gather requirements, design cloud architectures, calculate ROI, and create technical proposals for AI/ML solutions
  • Build production-grade infrastructure using IaC, develop APIs and prototypes, implement CI/CD pipelines, and manage AI workload operations
  • Transform business requirements into working solutions that are secure, scalable, cost-effective, and aligned with AWS best practices
  • Create reusable artifacts, comprehensive documentation, and architectural patterns that accelerate future project delivery
  • Document architecture and implementation details weekly for knowledge sharing
  • Ensure all solutions pass AWS Well-Architected Review standards
  • Create simplified UIs/demos for PoC validation and client presentations
  • Implement cloud security best practices: IAM, VPC design, encryption, secrets management
  • Conduct security reviews and implement remediation strategies

Requirements

  • 5+ years in cloud engineering, DevOps, or solution architecture roles
  • 3+ years hands-on experience with AWS services and architecture
  • 2+ years working with AI/ML workloads on cloud platforms
  • Hands-on experience deploying and managing ML models in production
  • Experience with GPU-based compute for training or inference
  • Understanding of AI/ML infrastructure challenges and optimization techniques
  • 3+ years building infrastructure using IaC tools (AWS CDK, Terraform, CloudFormation)
  • Experience creating reusable IaC modules and components
  • 4+ years programming experience in Python (required)
  • Experience building APIs with FastAPI, Flask, or similar frameworks
  • History of creating prototypes, MVPs, or PoC applications
  • Comfortable with full-stack development for demos and prototypes
  • 3+ years implementing CI/CD pipelines and deployment automation
  • Experience with containerization (Docker) and orchestration (Kubernetes/ECS)
  • Linux/UNIX system administration experience
  • Experience gathering requirements and translating them into technical solutions
  • History of presenting technical architectures to clients and stakeholders
Benefits
  • Duration: Part-time long-term engagement with project-based allocations
  • Reporting: Direct report to Head of Cloud

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
cloud engineeringDevOpssolution architectureAWS servicesAI/ML workloadsinfrastructure as code (IaC)PythonCI/CD pipelinescontainerizationLinux/UNIX administration
Soft skills
requirement gatheringtechnical proposal creationdocumentationknowledge sharingclient presentationscommunicationproblem-solvingcollaborationpresentation skillsorganizational skills
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