Principal AI Solutions Engineer

- Principal AI Solutions Engineer - 100% Remote About Our Cliente: We are expanding several Artificial Intelligence and infrastructure teams for one of the most ambitious AI transformation and automation programs within the banking sector. Job Description: We are looking for an experienced Principal AI Infrastructure Engineer to design, deploy, and maintain the infrastructure supporting AI training, fine-tuning, and inference workloads. You will work across infrastructure, AI/ML, networking, cybersecurity, and operations teams, helping build scalable, secure, and highly available environments for next-generation AI workloads. Key Responsibilities: - Design, deploy, and maintain AI infrastructure supporting training, fine-tuning, and inference workloads. - Deploy and administer Kubernetes platforms in virtualized and bare-metal environments. - Implement infrastructure automation using Python, Terraform, and Ansible. - Support and optimize GPU-enabled environments for AI and Generative AI workloads. - Collaborate with AI/ML, networking, security, and operations teams to deliver scalable and secure AI platforms. - Troubleshoot, optimize, and improve platform performance, reliability, and high availability Profile (M/F/D) - 8+ years of experience with Kubernetes and container orchestration in business-critical environments. - Strong Linux experience, particularly RHEL, RHCOS, SUSE, or Ubuntu. - Hands-on experience with Kubernetes platforms such as OpenShift, RKE2, or Charmed Kubernetes. - Strong knowledge of data center infrastructure, networking, storage, virtualization, and bare metal. - Experience with GPU infrastructure, including vGPU, passthrough, MIG, and GPU orchestration. - Strong skills in Python, Ansible, and Terraform. - Knowledge of GenAI, LLMs, RAG, AI training, and inference workloads. - Experience with monitoring, distributed systems, high availability, and infrastructure security. - High level of English Nice to Have - Experience with VMware ESXi, vSAN, VMFS, or NFS. - Experience with Machine Learning / Deep Learning platforms and MLOps. - Previous experience in banking or other regulated environments. Conditions - 100% Remote - Highly collaborative and international environment - Challenging projects involving AI, GenAI, Kubernetes, and GPU infrastructure - Highly competitive environment