Principal AI Cloud Engineer
Core
Design, build, and scale cloud-native AI infrastructure and platforms for ML/GenAI workloads, enabling enterprise-wide AI innovation.
Role type
Principal AI Cloud Engineer (Infrastructure & Platform)
Builds
Cloud-native AI infrastructure, reusable components (APIs, SDKs, microservices), and platform roadmaps for model serving and LLMOps.
Domain
Financial Services / Cloud Infrastructure / AI/ML Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud infrastructure design, Kubernetes, Infrastructure as Code (Terraform/Bicep), Cloud security, Observability, Python, Go/TypeScript, FinOps, SRE principles
Preferred skills
GPU optimization, Vector databases, Event streaming, AI platform products (Azure ML, MLflow, KServe)
Technologies
Azure, AWS, Kubernetes, Terraform, Bicep, OpenTelemetry, Prometheus, Grafana, Kafka, Azure Data Lake Storage, FAISS, Milvus, Pinecone, pgvector, TensorRT-LLM, vLLM, Triton/KServe
Responsibilities
Design and operate cloud-native AI infrastructure for compute, networking, and storage; Implement security, IAM, and compliance controls; Build CI/CD and GitOps pipelines; Drive FinOps for AI infrastructure; Mentor engineers and establish engineering standards.
Seniority
Principal, hands-on IC with strategic influence
