Lead Data Scientist
Tasks
- Architect secure scalable AI solutions on Google Cloud
- Build RAG pipelines for enterprise retrieval
- Define AI CX architecture strategy
- Design event-driven architectures
- Design, build, and deploy agentic AI systems
- Develop conversational experiences with LLMs
- Establish AI governance and security controls
- Implement cloud-native microservices
- Integrate tools and APIs in agent workflows
- Mentor engineers and provide technical leadership
- Orchestrate multi-agent workflows
Perks/Benefits
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AI Agent Builder | API Integration | Agent Builder | Agent systems | Artificial Intelligence | Autogen | Autonomous Agents | BigQuery | Cloud Functions | Cloud Run | CrewAI | Dialogflow CX | Enterprise Architecture | Event Driven | Event-driven architecture | Function Calling | Generative AI | Google Kubernetes | Google Kubernetes Engine | Kubernetes Engine | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Prompt engineering | Pub/Sub | Python | Retrieval-Augmented Generation | Semantic Kernel | System Architecture | Tool-Calling | Vertex AI | Vertex AI Agent Builder | Workflow Orchestration
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Senior AI Architect
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