Not specified
Infrastructure Engineer, Enterprise AI
- Location
- US
- Work type
- Remote · Full-time
- Salary
- Not listed
- Posted
- (1 day ago)
About the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Infrastructure Engineer, Enterprise AI based in the United States.
As an Infrastructure Engineer, Enterprise AI, you will play a key role in building and scaling the infrastructure that enables employees to transform AI-generated ideas, prototypes, and applications into secure, reliable, production-ready solutions. You will design and maintain cloud hosting environments, deployment workflows, databases, integrations, and access controls that support teams across the organization. Working closely with Enterprise Technology, Platform Engineering, Security, Data, and business stakeholders, you will make AI-powered application development more accessible to employees with different levels of technical expertise. You will establish reusable infrastructure patterns, automate deployment processes, and ensure applications meet enterprise standards for security, performance, and reliability. Beyond technical implementation, you will provide hands-on guidance, improve documentation, and help internal builders become more confident and independent. This is an opportunity to shape the future of enterprise AI adoption in a collaborative, fast-paced environment where innovation and practical problem-solving go hand in hand.
Accountabilities:
Requirements:
Demonstrated experience building, managing, or operating cloud infrastructure and application deployment environments, ideally using Google Cloud Platform (GCP) or another major cloud provider. Strong technical understanding of application hosting, cloud networking, databases, identity and access management, and production operations. Hands-on experience with version control systems, particularly Git and GitHub, including code review, release management, and rollback workflows. Experience automating infrastructure provisioning and application deployments using tools such as Terraform and CI/CD platforms. Practical experience integrating applications with APIs and enterprise business systems, including an understanding of authentication, authorization, and secure secrets management. Strong understanding of infrastructure security principles and the ability to establish appropriate access controls and data protection practices. Customer-focused approach to infrastructure engineering, with an emphasis on making platforms accessible, reliable, and easy for internal users to operate. Ability to translate complex technical processes into clear, approachable instructions for employees who may not have professional software engineering backgrounds. Excellent troubleshooting, analytical, communication, and technical documentation skills. Strong judgment when balancing development speed, simplicity, security, reliability, and infrastructure costs.The following qualifications and experiences would be considered an advantage:
Experience building internal developer platforms, standardized deployment environments, or self-service infrastructure solutions for developers and citizen developers. Familiarity with Vercel or comparable application hosting and development platforms. Experience working with AI-assisted application development tools such as Superblocks, Lovable, or similar solutions. Understanding of AI-enabled software development workflows and the infrastructure required to transform AI-generated code into secure, supported applications. Experience with Okta, Google Workspace, Slack, and integrations across enterprise productivity platforms. Previous experience supporting applications that process sensitive information or require advanced access management and security controls.Key indicators of success in this role include:
Employee-built applications have a clear, standardized pathway to secure and supported cloud hosting. Internal teams can deploy, update, and maintain applications through documented and repeatable workflows with version history and rollback capabilities. Enterprise integrations and permissions are reliable, appropriately scoped, and easy to maintain. Employees can independently make progress without needing extensive knowledge of underlying cloud infrastructure. Internal builders receive timely, helpful technical support and become increasingly confident operating their applications. Infrastructure platforms consistently meet organizational expectations for usability, security, reliability, and cost management.