Senior AI/ML Architect
Core
Design production-ready architectural blueprints and lead technical scoping for enterprise AI/ML workloads, eliminating friction to establish Kubernetes as the preferred platform.
Role type
Senior IC AI/ML Architect (Customer Engineering)
Builds
Reusable software architectures, reference topologies, and custom Proofs-of-Concept (POCs) for high-scale AI applications.
Domain
Enterprise AI, Cloud-Native Infrastructure, Kubernetes
Required skills
Enterprise Kubernetes architecture, Python application development, AI/ML framework configuration (PyTorch, TensorFlow), Technical consulting & pre-sales, System hardening & security design, Multi-tier IT landscape integration
Preferred skills
MLOps & Lifecycle Management (vLLM, KServe, Ray, MLflow), GitOps & Observability (ArgoCD, Prometheus), GPU Clustering & HPC, Regulated deployment design, Polyglot Systems Engineering (Go, Java, Rust)
Technologies
Kubernetes, Python, Git, Ansible, Terraform, PyTorch, TensorFlow, vLLM, KServe, Ray, MLflow, Kubeflow, ArgoCD, Flux, Prometheus, Grafana, OpenTelemetry
Responsibilities
Design and document comprehensive system architecture blueprints and reference topologies; Lead technical scoping, discovery, and execution of customer workshops and POCs; Serve as a trusted technical advisor to regional teams and corporate executives; Collaborate with external technology ecosystems to design joint-architecture solutions; Act as a technical liaison between APAC market realities and global product management; Take full technical ownership of complex, strategic enterprise opportunities.
Seniority
Senior, hands-on IC with advisory leadership
