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 (Enterprise & Sovereign AI)
Builds
Reusable software architectures, reference topologies, and custom Proofs-of-Concept (POCs) for high-scale application and AI workloads.
Domain
Enterprise AI, Sovereign AI, Cloud-Native Infrastructure, Kubernetes
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise Kubernetes architecture, Python application development, AI/ML framework configuration (PyTorch, TensorFlow), Technical consulting & client workshops, Strategic advisory to executives, Ecosystem partner integration, Autonomous high-stakes delivery
Preferred skills
MLOps & Lifecycle Management (vLLM, KServe, Ray, MLflow, Kubeflow), GitOps & Observability (ArgoCD, Flux, Prometheus, Grafana), GPU Clustering & HPC, Regulated Deployments & Secure Design, Polyglot Systems Engineering (Go, Java, Rust)
Technologies
Kubernetes, PyTorch, TensorFlow, vLLM, KServe, Ray, MLflow, Kubeflow, ArgoCD, Flux, Prometheus, Grafana, OpenTelemetry, Ansible, Terraform, Git, Go, Java, Rust
Responsibilities
Design and document comprehensive, production-ready system architecture blueprints and reference topologies; Lead technical scoping, discovery, and execution of deep-dive customer workshops and custom POCs; Serve as a trusted technical advisor to regional engineering teams and corporate executives; Collaborate with external technology ecosystems to design and validate joint-architecture solutions; Act as a key technical liaison between APAC market realities and product management teams; Take full technical ownership of complex, strategic enterprise opportunities and advise C-level stakeholders on platform maturity and adoption strategies.