AI Infrastructure Engineer [Senior]

About Our Client:

The organization operates within the enterprise Artificial Intelligence sector, addressing the challenge of integrating and operationalizing AI across complex business platforms such as SAP, Salesforce, Workday, Snowflake, and DataBricks. It develops multi-agent AI systems designed to automate intricate business workflows with speed, precision, and measurable impact. The organization focuses on delivering AI automation solutions at scale while maintaining reliability and security across diverse customer environments.

About the Opportunity:

The AI INFRASTRUCTURE ENGINEER role is focused on designing and managing production-grade AI agent infrastructure that supports AI systems across multiple cloud providers. This position is critical in enabling secure, compliant, and consistent operation of enterprise customer environments, while maintaining developer velocity and reducing integration risks. The role involves ownership of infrastructure variants for cloud platforms such as Azure and Oracle Cloud, and supports overall product delivery by ensuring infrastructure does not hinder development or deployment.

Responsibilities:

• Design, build, and maintain production-grade AI agent infrastructure
• Support AI infrastructure across multiple cloud providers
• Own the Azure or Oracle Cloud infrastructure variant and support GCP and AWS
• Enable portable infrastructure across diverse customer environments
• Enhance observability, security, and system reliability
• Deploy and operate applications using Kubernetes and Terraform
• Collaborate with product and platform engineers to facilitate delivery
• Design and manage CI/CD pipelines and automate build, test, and deployment workflows
• Develop reusable automation frameworks for DevOps and developer workflows
• Automate operational runbooks and recurring processes to eliminate manual work
• Promote an automation-first approach ensuring tasks done multiple times are automated and maintained

Requirements:

• 10 to 15+ years of experience as a Cloud Infrastructure Engineer
• Strong hands-on experience with Terraform and Kubernetes
• Proficient in Azure, Oracle Cloud, GCP, or AWS
• Proven experience designing and owning CI/CD systems, pipeline architecture, and GitOps-driven deployments
• Experience building automation frameworks for DevOps and developer workflows, including scripting with Bash, Python, or similar
• Strong networking fundamentals
• Experience deploying and operating production systems

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.