Director of Engineering, Applied Intelligence & Data Platforms
Seattle, Washington, United States
USD 255K-327K Executive-level Full Time
Tasks
- Collaborate with stakeholders on AI outcomes
- Define model context protocol strategy
- Design distributed multi region services
- Develop technical AI strategy
- Ensure compliance with AI regulations
- Ensure privacy and data security
- Ensure responsible AI practices
- Establish model performance benchmarks
- Implement AI data governance
- Lead agentic AI framework architecture
- Mentor machine learning teams
- Monitor model outputs and accuracy
- Oversee edge to cloud data pipelines
Perks/Benefits
Skills/Tech-stack
Agentic AI | CLIP | Cloud Orchestration | Computer Vision | Data Governance | Data Pipelines | Data Preprocessing | Distributed Systems | Edge Computing | High Availability | IoT | Language Models | Large Language Models | Large Vision Models | LoRA | MLOps | Machine Learning | Model Context Protocol | Model Deployment | Model Evaluation | NVIDIA Jetson | Privacy | PyTorch | Scikit-learn | TensorFlow | Vision Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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