Director, AI Enterprise Architect
Tasks
- Align executives on AI strategy
- Architect LLM integration
- Build enterprise data integration
- Build production AI systems
- Create shared AI infrastructure
- Define AI best practices
- Define AI roadmap
- Deploy agentic workflows
- Design unified context layers
- Develop data pipelines
- Ensure data security and access
- Establish AI evaluation practices
- Implement evaluation and observability tooling
- Implement model governance
- Implement rag pipelines
- Manage AI risk and standards
- Mentor AI leaders
- Monitor AI systems
- Prioritize AI initiatives
- Prototype and deliver AI platform services
- Redesign enterprise workflows
- Set metadata catalogs and lineage
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agentic Workflows | Anomaly Detection | Azure | Classification | Cloud platform | Compliance | DPO | Data Architecture | Data Engineering | Data Governance | Data Pipelines | Databricks | ELT | ETL | Embeddings | Evaluation | Fine Tuning | Google Cloud | Google Cloud Platform | Lakehouse | LoRA | Machine Learning | Multimodal | Observability | PEFT | Prompt engineering | Python | RLHF | Regression | Retrieval-Augmented Generation | Security | Series forecasting | Time Series | Time Series Forecasting | Tokenization | Transformer
Education
N/A
Roles
AI | AI Enterprise Architect | Architect | Director | Enterprise Architect
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