Director, Product AI Platform Architect
Core
Design and deliver a single, configurable AI platform serving multiple business units within an air-gapped environment, enabling embedded AI on customer hardware and cloud-hosted services.
Role type
Director, Product AI Platform Architect
Builds
A unified AI platform supporting on-premises, private cloud, and public cloud deployments with embedded model inference and RAG capabilities.
Domain
Semiconductor equipment, AI/ML infrastructure, Cloud-native systems
Deliverable
production ML models
Required skills
Distributed platform architecture, Kubernetes/OpenShift, MLOps, CI/CD, AI model governance, System integration, Technical leadership, Cloud strategy (AWS/Azure), Microservices, API/Event-driven design
Preferred skills
Master's degree in CS/EE, Experience with Java/Spring Boot, Python, Node.js, React, Angular
Technologies
Kubernetes, Helm, GitOps, OpenShift, AWS, Azure, Java, Spring Boot, Python, Node.js, React, Angular, C4 modeling, DORA metrics
Responsibilities
Define target-state reference architecture and domain decomposition; Architect multi-cloud and on-premises deployment flexibility; Set Kubernetes and microservices standards; Define embedded AI architecture for model selection and inference; Design retrieval-augmented generation (RAG) systems with guardrails; Establish AI assurance practices including evaluation and drift detection; Own end-to-end CI/CD and MLOps pipelines; Lead technical delivery and release sequencing; Translate business problems into architecture decisions; Serve as senior technical interface across business units; Own extension models and systems integration; Define non-functional requirements and observability; Maintain hands-on leadership in development.
Seniority
Director, hands-on IC with organizational leadership
