Principal Architect - GenAI
Tasks
- Architect scalable AI solutions
- Build RAG architectures with vector databases
- Build production grade agentic AI applications
- Deploy machine learning models on AWS
- Design machine learning models
- Develop machine learning algorithms
- Develop secure scalable APIs
- Evaluate and optimize LLM performance
- Fine-tune large language models
- Implement Agentic AI architectures
- Implement Model Context Protocol
- Implement prompt templating
- Implement workflow orchestration pipelines
- Integrate LLM APIs
- Manage agent memory and observability
- Optimize machine learning models for AWS
- Orchestrate multi model workflows
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS SageMaker | Agentic AI | Airflow | Amazon Bedrock | Amazon Web Services | Attention Mechanisms | BERT | CI/CD | Docker | Embeddings | Fine Tuning | Hyperparameter Tuning | Infrastructure as Code | Kubeflow | LLM API | Lambda | Langchain | Language Models | Large Language Models | MCP | Model Context Protocol | Model Evaluation | Prompt engineering | RAG | S3 | Similarity Search | Step Functions | Tokenization | Transformers | Vector Databases | Web Services | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Architect
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