Principal Engineer -- AI Architect
New York City, New York, United States
USD 170K-241K (estimate) Senior-level Full Time
Tasks
- Build reusable AI frameworks and accelerators
- Build scalable secure production AI systems
- Define AI governance and responsible AI practices
- Define and implement agentic AI solutions
- Define and implement generative AI solutions
- Design RAG architectures
- Design end-to-end AI/ML architectures
- Develop intelligent automation workflows
- Develop multi agent autonomous workflows
- Drive AI roadmap and organization strategy
- Engineer prompts and context
- Ensure AI scalability security compliance
- Establish AI platform best practices
- Implement LLM orchestration
- Lead architecture discussions and technical decisions
- Manage AI model lifecycle
- Mentor engineers and data scientists
- Optimize AI cost and performance
- Own scalable AI solutions across business domains
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | BigQuery | CI/CD | Cloud Computing | Context engineering | Data Lakes | Data Modeling | Data Processing | Data Warehouses | Databricks | Deep learning | Embeddings | Generative AI | Governance | Kubeflow | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model versioning | Monitoring | Prompt engineering | Python | RAG | REST APIs | Real Time | Real-time Data | Real-time Data Processing | SQL | Vector Databases | Vertex AI
Education
Regions
Countries
States
Cities
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