IT Infrastructure Engineer - AI

Skip to main contentThis website uses technologies such as cookies to enable essential website functionality and, with your consent, to enhance your experience and analyze site traffic. Denying consent may make some related features unavailable.Select “Accept Cookies” to give your consent, or choose “Decline” or ignore this notice to continue without accepting non-essential technologies.To learn more, please see UserTesting’s Privacy Policy.Read Full Privacy MessageDeclineAccept CookiesEnglishSign InIT Infrastructure Engineer – AI page is loadedIT Infrastructure Engineer – AIApplyremote typeRemotelocationsUnited Kingdomtime typeFull timeposted onPosted 2 Days Agojob requisition idR-101223We’re UserTesting—the leader in human insight. Our mission is to help organizations craft exceptional customer experiences through fast, actionable feedback.We empower teams to build the best products and experiences by embedding real human perspectives into every stage of the development process—from ideation to launch. With the world’s strongest participant network, AI-powered analysis, expert services, and seamless integrations, we help companies eliminate guesswork, align stakeholders, and bring customer needs into sharp focus.Trusted by more than 3,000 organizations worldwide—including 75 of the Fortune 100—UserTesting delivers measurable business outcomes, reduces risk, and helps teams deliver with confidence. Joining our team means being part of a passionate group focused on transforming how companies understand and connect with their customers.Let’s build experiences people love—together.OverviewWe are seeking a highly skilled and proactive IT Infrastructure Engineer with deep expertise in cloud and DevOps practices and a strong working knowledge of AI tooling and infrastructure. This role sits at the intersection of modern cloud infrastructure engineering and the rapidly evolving AI enablement space. You will play a hands-on IC role in deploying and maintaining the AI tools, agents, hosting environments, and cloud infrastructure that support UserTesting’s broader AI initiatives, along with other infrastructure and IT responsibilities. Target ratio is an 80/20 split of AI “building” vs traditional cloud infrastructure/IT work.Key ResponsibilitiesAI Enablement & InfrastructureSet up, configure, and maintain MCP (Model Context Protocol) servers that connect AI systems to internal tools and data sources, including scoping access, managing credentials, and troubleshooting integrations.Design, provision, and support hosting environments for internally built  AI applications ranging from lightweight PaaS deployments to full cloud infrastructure on AWS/GCP (VPCs, compute, containers, load balancing) depending on the app’s complexity and scale requirements.Familiarity with AI features within existing SaaS platforms (e.g., Atlassian Rovo, Slack AI, Okta AI, ChatGPT, Google Gemini)Provision and support AI agent / application infrastructure: service accounts, API key management, permissions scoping, rate limit monitoring, and access auditing for agents operating across internal systems and cloud environments.Build and maintain CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation) to support repeatable, secure deployment of AI-hosted applications and supporting services.Maintain documentation for all AI integrations and hosted environments, including architecture diagrams, access maps, runbooks, cost/usage tracking, and troubleshooting guides.Stay current on the AI tooling and cloud ecosystem and proactively identify tools, platforms, or integrations that could benefit the IT team or the broader organization.Cloud Infrastructure & DevOpsSupport the administration of UserTesting’s IT cloud infrastructure (AWS and/or GCP) and DevOps toolset across the organization as it relates to IT’s AI Infrastructure.Become a subject matter expert for AI-hosted platforms, cloud integrations, and supporting infrastructure.Monitor uptime,...