Principal AI Engineer
Sterling, VA, United States
USD 150K-188K (estimate) Senior-level Full Time
Tasks
- Architect AI/ML solutions
- Build train deploy and optimize machine learning models
- Conduct model evaluation and quality testing
- Define LLMOps and MLOps architectures
- Deploy AI models using cloud native services
- Design optimize data pipelines for AI workflows
- Develop AI-driven prototypes and PoCs
- Implement agentic AI patterns
- Implement generative AI RAG and embeddings
- Implement vector search and knowledge graphs
- Monitor deployed models and detect drift
- Preprocess and prepare structured and unstructured data
- Present AI solutions for pre sales and proposal support
- Provide technical leadership and mentorship
- Set up CI/CD and infrastructure-as-code
Perks/Benefits
Skills/Tech-stack
AI Studio | API Gateway | AWS Bedrock | AWS SageMaker | Automl | Azure AI | Azure AI Studio | Azure Machine Learning | CI/CD | Databricks | Docker | Drift Detection | Embeddings | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Human-in-the-loop | Infrastructure as Code | Knowledge graphs | Kubernetes | LLMOps | Langchain | Langgraph | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Security controls | Snowflake | The Loop | Tool-Calling | Vector Search | Vertex AI | Zero Trust | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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