Senior AI Engineer - Cloud Infrastructure

Placements24; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Flexible PTO

Remote-friendly culture

Professional development

Job summary

Placements24 is seeking a highly experienced Senior AI Engineer to join a remote-first team focused on scalable AI-powered cloud infrastructure. You will design and manage cloud platforms supporting AI research and deployment, collaborating with distributed teams.

The ideal candidate has 6+ years in cloud engineering/SRE, strong IaC and containerization skills, and proficiency with CI/CD tools. This role offers remote work from anywhere in the U.S.

Qualifications

• Bachelor's degree or equivalent experience in CS/Engineering.
• 6+ years in cloud engineering, DevOps or SRE.
• Experience with AWS/Azure/GCP and AI/ML services.
• IaC using Terraform or CloudFormation.
• Containerization with Docker/Kubernetes; scripting in Python/Bash/Go.
• Familiarity with CI/CD tools: Jenkins, GitHub Actions, GitLab CI.

Responsibilities

• Design, deploy, and maintain scalable cloud infra for AI/ML workloads.
• Build and manage CI/CD pipelines for model deployment and lifecycle.
• Automate provisioning with IaC tools like Terraform/Ansible.
• Monitor performance and optimize AI training/inference stacks.
• Collaborate with AI researchers to meet infra requirements.
• Implement robust logging, monitoring, and alerting.

Skills

Cloud engineering

DevOps

CI/CD pipelines

Python scripting

Docker & Kubernetes

Networking & security

Go scripting

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

CloudFormation

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

Ansible

Job description

About the Role

Our client is looking for a highly experienced Senior AI Engineer to join their innovative, remote-first team, focusing on building and scaling AI-powered cloud infrastructure. This role is critical for ensuring the reliable and efficient operation of our large-scale AI and machine learning platforms. You will be responsible for designing, implementing, and managing the cloud-based infrastructure that supports our advanced AI research and development efforts. The ideal candidate has a strong background in cloud computing, DevOps practices, and a solid understanding of AI/ML workloads. This is a remote position, allowing you to work from anywhere while collaborating closely with distributed engineering and research teams. You will have the opportunity to work with cutting-edge cloud technologies and contribute to the foundational elements of our AI capabilities. We are seeking a proactive and skilled engineer who thrives in a fast-paced, remote environment and is passionate about enabling AI innovation through robust infrastructure.

Key Responsibilities

• Design, deploy, and maintain scalable, secure, and cost-effective cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Implement and manage CI/CD pipelines for AI/ML model deployment and lifecycle management.
• Develop and automate infrastructure provisioning and management using tools like Terraform, Ansible, or similar.
• Monitor system performance, identify bottlenecks, and implement optimizations for AI training and inference.
• Collaborate with AI/ML researchers and engineers to understand their infrastructure needs and provide solutions.
• Implement robust logging, monitoring, and alerting systems for the AI platform.
• Ensure the security and compliance of the cloud infrastructure.
• Troubleshoot and resolve infrastructure-related issues in a timely manner.
• Stay up-to-date with the latest cloud technologies and AI infrastructure trends.
• Contribute to architectural decisions and technology selection for our AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Minimum of 6 years of experience in cloud engineering, DevOps, or site reliability engineering (SRE).
• Proven experience with major cloud providers (AWS, Azure, or GCP) and their AI/ML services.
• Strong proficiency in infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of networking, security, and system administration principles.
• Familiarity with AI/ML concepts and the specific infrastructure requirements for training and deploying models.
• Proficiency in scripting languages such as Python, Bash, or Go.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Excellent problem-solving, communication, and collaboration skills, especially in a remote setting.

Benefits

Our client offers a competitive salary and benefits package designed for remote professionals. This includes a comprehensive health insurance plan, a generous retirement savings contribution, and flexible paid time off. Employees are empowered with the latest tools and technologies, as well as opportunities for professional development and certifications in cloud and AI technologies. This role offers the unique advantage of working remotely, providing flexibility and autonomy. You'll be part of a dynamic, globally distributed team tackling challenging problems in AI infrastructure, contributing directly to the company's cutting-edge innovations.