AI Platform Engineer

Quick Facts

• Role: AI Platform Engineer

• Collaboration mode: 100% remote

• Availability: start immediately or within 1 month

Description

Design, develop, and operate Microsoft Azure cloud infrastructure that supports AI solutions. You will automate build/test/deploy pipelines, containerization, integrations, and environment configuration while ensuring platform stability, availability, security, and scalability. You’ll monitor the platform, troubleshoot issues, and collaborate with AI Engineering, Software Engineering, and Cloud Engineering teams.

Responsibilities

• Design, develop, and maintain cloud infrastructure supporting AI solutions

• Prepare and configure environments to deploy and run AI components

• Automate build, test, and deployment processes for applications and services

• Develop integration mechanisms between platform components, applications, and external services

• Create and optimize containerization and cloud service runtime processes

• Ensure stability, availability, and scalability of infrastructure used by AI solutions

• Monitor platform operation and diagnose technical issues

• Implement improvements to increase performance and reliability of infrastructure processes

• Develop automation mechanisms for environment configuration and management

• Support integration of AI solutions with existing systems and technical processes

• Collaborate with AI Engineering, Software Engineering, and Cloud Engineering teams

• Prepare technical documentation and co-create infrastructure and deployment standards

Requirements

• 3+ years of commercial experience in Platform Engineering, DevOps, or Cloud Engineering

• Practical experience designing, developing, and maintaining cloud infrastructure

• Very good knowledge of Microsoft Azure and services used to run and integrate applications

• Experience with Docker and containerization of applications and services

• Good knowledge of Python for scripting and automation tools

• Knowledge of AI concepts and infrastructure requirements for AI solutions

• Experience automating deployment processes and environment configuration

• Knowledge of CI/CD processes and deployment best practices

• Ability to design and configure integrations between services and system components

• Knowledge of networking fundamentals, security, and access management in cloud environments

• Experience monitoring infrastructure and diagnosing technical problems

• Good understanding of designing stable and scalable platform solutions

• Independence in analyzing technical problems and proposing improvements

Benefits

• Work on building infrastructure and a platform supporting modern AI solutions

• Combine skills from DevOps, Cloud Engineering, and system integration

• Help define standards for deployment automation and environment management

• Work on advanced topics: scalability, reliability, and security of an AI platform

• Develop infrastructure solutions used to run and integrate AI components