Principal Engineer - AI Architect / Principal Data Scientist
Mexico City, Mexico
MXN 1040K-1300K (estimate) Senior-level Full Time
Tasks
- Architect scalable microservices and APIs
- Build generative AI and agentic AI solutions
- Define AI governance and responsible AI practices
- Deploy production ready machine learning systems
- Design end-to-end AI architectures
- Implement RAG architectures
- Lead enterprise wide AI adoption
- Manage model lifecycle and versioning
- Mentor engineers and data scientists
- Monitor model performance in production
- Orchestrate large language model workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Artificial Intelligence | Autogen | BigQuery | CI/CD | Context engineering | CrewAI | Data Lakes | Data Processing | Data Warehouses | Databricks | Deep learning | Distributed Systems | Embeddings | GCP | Generative AI | Kubeflow | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | REST APIs | Real Time | Real-time Data | Real-time Data Processing | Responsible AI | SQL | System design | Vector Databases | Vertex AI
Education
Roles
AI | AI Architect | Architect | Data Scientist | Scientist
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