> Markdown version of [/jobs/ext/654168-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/654168-ai-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Engineer - **Company:** Crowe LLP - **Location:** Fort Lauderdale, FL, United States - **Salary:** $94,500.0 - $212,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Storage, Code Review, DevOps, Log Analysis, Machine Learning, Octopus Deploy, Prometheus, AI Infrastructure, Cloud Platform System, Cloud Monitoring, Grafana, Kubernetes, Azure AKS, Terraform, Serverless Computing, Azure Resource Manager, Key Vault - **Published:** June 26, 2026 - **Apply:** https://diversityjobs.com/career/17393641/Ai-Infrastructure-Engineer-Florida-Fort-Lauderdale ## About the Role * Proven experience designing, operating, and scaling production Kubernetes platforms, with deep hands-on expertise in Azure Kubernetes Service (AKS). * Strong infrastructure-as-code experience using Terraform, with supplemental use of Crossplane and ARM templates. * Demonstrated success implementing GitOps operating models, including desired-state enforcement, drift detection, and multi-environment promotion. * Experience defining and operating observability standards, including monitoring, alerting, and SLI/SLOs using tools such as Azure Monitor, Log Analytics, Prometheus, and Grafana. * Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus). * Experience with serverless functions, e.g., OpenFaaS * Bachelor's degree, * Solid understanding of Azure identity and access management, including Managed Identities, service principals, and AKS Workload Identity. * Hands-on experience provisioning and supporting Azure resources such as Storage Accounts, Key Vault, ACR, networking (VNets, private endpoints), and monitoring services. * Experience designing and operating CI/CD pipelines using Azure DevOps and deploying to AKS and Azure services using Octopus Deploy. * Kubernetes and/or Azure certifications (CKA, CKAD, Azure Architect, or similar). * Demonstrated commitment to DevOps best practices and continuous improvement. * You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time. * You enjoy AI and machine learning. You've gone deeper than reading blog posts, ideally having several example machine learning projects you can speak to within industry, academia, or your free time., We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination. ## Description * As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence. Your role will be crucial in ensuring that the AI solutions you contribute to are consistent, secure, and reliable. * Architect reusable Terraform modules and Crossplane compositions for multi-environment use * Design and maintain multi-environment GitOps structures with FluxCD * Engineer advanced ADO pipeline patterns (multi-stage, gated, reusable templates) * Solve complex AKS issue (networking, scaling, controllers, identity integration) * Implement and maintain Workload identity patterns for AKS workloads * Improve team practices through tooling, documentation, and automation improvements * Perform technical reviews to ensure quality, security, and consistency * Mentor junior AI Infrastructure Engineers, fostering growth and development of team members through knowledge-sharing, constructive code review, and by setting the standard for best practices ## Related Videos - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Best Practices for Using GitHub Secrets](https://www.wearedevelopers.com/videos/1214-best-practices-for-using-github-secrets) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)