AI/ML Architect
Core
Design production-ready architectural blueprints and lead technical scoping for enterprise-grade Kubernetes container systems to support high-scale AI workloads.
Role type
Senior IC AI/ML Architect (Enterprise Infrastructure)
Builds
Reusable software architectures, reference topologies, and custom Proofs-of-Concept (POCs) for enterprise AI deployment.
Domain
Enterprise AI, Cloud-Native Infrastructure, Kubernetes, Sovereign AI
Required skills
Enterprise Kubernetes architecture, Python application architecture, AI/ML framework configuration (PyTorch, TensorFlow), Technical consulting & system design, Strategic advisory, Cross-functional collaboration
Preferred skills
MLOps & Lifecycle Management (vLLM, KServe, Ray), GitOps & Observability (ArgoCD, Prometheus), GPU Clustering & HPC, Secure/Air-gapped network 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 comprehensive system architecture blueprints and reference topologies; Lead technical scoping, discovery, and execution of customer workshops and POCs; Serve as trusted technical advisor to regional teams and corporate executives; Collaborate with external technology ecosystems to design joint-architecture solutions; Act as 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 strategic advisory leadership
