Cloud Solutions Architect (US)
Core
Deploy, integrate, and operate an AI design/simulation platform for enterprise customers in their own environments, ensuring security clearance and stability.
Role type
Senior Cloud Solutions Architect (Enterprise AI Platform)
Builds
AI-assisted design and simulation workflows embedded in customer engineering environments
Domain
Enterprise software deployment, AI/ML infrastructure, Cloud-native systems
Deliverable
production ML models | infrastructure
Required skills
Kubernetes (configuration depth, manifests, workloads), Linux networking and TLS, Identity and SSO (OIDC, SAML), Cloud infrastructure management, Troubleshooting and diagnostics, Runbook creation and post-mortems
Preferred skills
Air-gapped deployment experience, GPU scheduling, LLM serving, Terraform, GitOps, Prometheus, Grafana, HPC schedulers, Python, PLM/CAD/CAE exposure
Technologies
Kubernetes, Managed Kubernetes, GPU infrastructure, Terraform, GitOps, Prometheus, Grafana, OIDC, SAML
Responsibilities
Manage deployment lifecycle from architecture to go-live and steady-state operation, Integrate platform with customer identity, data, and engineering systems, Collaborate with customer IT, security, and platform teams, Diagnose and resolve production issues including external causes, Create runbooks, post-mortems, and playbooks for future deployments
Seniority
Senior, hands-on IC
