Principal Engineer - AI Architect / Principal Data Scientist
Mexico City, Mexico
MXN 1040K-1300K (estimate) Senior-level Full Time
Tasks
- Build RAG-architectures
- Create embedding and vector search pipelines
- Define AI governance standards
- Define AI roadmap
- Deploy production AI systems
- Design AI and ML architectures
- Develop Agentic AI systems
- Develop generative AI solutions
- Ensure responsible AI practices
- Establish AI platform best practices
- Implement context engineering
- Implement machine learning pipelines
- Lead cross functional architecture discussions
- Manage model lifecycle
- Mentor engineers and data scientists
- Monitor and optimize AI performance
- Orchestrate large language model workflows
- Perform prompt engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Application Programming | Application Programming Interfaces | Artificial Intelligence | BigQuery | CI/CD | Cloud platform | Context engineering | Data Lakes | Data Modeling | Data Processing | Data Warehousing | Databricks | Deep learning | Distributed Systems | Embeddings | Ethical AI | Generative AI | Google Cloud | Google Cloud Platform | Kubeflow | LLM orchestration | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Governance | Model Monitoring | Model versioning | Multi-Agent | Multi-Agent Systems | Programming interfaces | Prompt engineering | Python | Real Time | Real-time Data | Real-time Data Processing | Responsible AI | Retrieval-Augmented Generation | SQL | Statistical modeling | System Architecture | Vector Databases | Vertex AI
Education
Roles
AI | AI Architect | Architect | Data Scientist | Engineer | Principal | Principal Engineer | Scientist
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