Vice President AI Engineering
Tasks
- Architect and implement conversational AI platform
- Build and lead conversational AI platform teams
- Build continuous learning and feedback systems
- Design data pipeline architectures
- Design multi agent orchestration architectures
- Design multi modal interactions text voice vision
- Drive adaptive personas and context memory features
- Establish engineering standards and experimentation frameworks
- Implement CI CD pipelines for AI services
- Implement semantic search and RAG
- Implement trust and safety filters
- Integrate LLM inference and orchestration frameworks
- Lead LLM evaluation and integration
- Manage vendor relationships and cloud optimization
- Translate business problems into engineering solutions
Perks/Benefits
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Global career paths
- Inclusion programs
- Learning opportunities
Skills/Tech-stack
Agent systems | Azure | CI/CD | Cloud platform | Data Engineering | Dialog Management | Distributed inference | Google Cloud | Google Cloud Platform | Human-in-the-loop | LLM Evaluation | LangFlow | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multi-Modal | Multi-modal interactions | PyTorch | Python | RAG | Retrieval-Augmented Generation | Semantic Search | System Observability | TensorFlow | The Loop
Education
Regions
Countries
States
Cities
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