Corporate Vice President - Enterprise AI Architect
Tasks
- Build AI control plane services
- Build AI lifecycle registries
- Define enterprise reference architecture
- Design reusable engineering patterns
- Develop model abstraction layers
- Develop multi-agent orchestration
- Establish CI/CD standards
- Implement enterprise memory services
- Implement retrieval-augmented generation
- Lead software quality and testing practices
- Manage platform portability with open standards
- Mentor engineers with architecture reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agent Orchestration | Apache Iceberg | Auditability | CI/CD | Cloud platform | Containerization | DeepSpeed | Docker | Go | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Infrastructure as Code | Java | Kubernetes | LLM | LLM Evaluation | MLflow | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Observability | Open Standards | OpenTelemetry | Policy enforcement | Python | RAG | REST APIs | Ray | Responsible AI | Retrieval-Augmented Generation | Security | Security-by-default | Terraform | TypeScript | VLLM | “as-code”
Education
N/A
Regions
Countries
States
Cities
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