Principal Engineer, Technical Architect
Tasks
- Build Retrieval-Augmented Generation solutions
- Conduct proof of concept to validate solutions
- Create prompt templates for foundation models
- Define AI success metrics and evaluation plans
- Define security privacy and access control requirements
- Design cloud-based AI infrastructure
- Design end-to-end AI architecture
- Design scalable batch and real time inference
- Develop and orchestrate AI agents
- Implement AI deployment with model serving
- Implement data model training pipelines
- Mentor teams on best practices
- Review architectures for scalability extensibility and security
- Translate business use cases into AI approach
- Write and review architecture and design documents
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Design | Access Control | Artificial Intelligence | Batch inference | Big Data | C# | Cloud infrastructure | Computer Vision | Cost Latency Tradeoffs | Data Engineering | Database security | Docker | GPU Computing | Generative AI | Java | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Latency Tradeoffs | MLOps | MLflow | Machine Learning | Model Serving | MySQL | Natural Language | Natural Language Processing | NumPy | Oracle | PII compliance | Pandas | Prompt engineering | Python | RAG | Real Time | Real-time Inference | Responsible AI | Retrieval-Augmented Generation | SQL | Statistical Analysis
Education
Roles
Architect | Engineer | Principal | Principal Engineer | Technical Architect
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