Artificial Intelligence - AI Architect
Tasks
- Architect RAG pipelines
- Build predictive models
- Create data architecture
- Create vector database solutions
- Define AI scalability and performance best practices
- Design data pipelines and ETL
- Design end to end AI and ML solutions
- Develop LLM-powered applications
- Ensure AI security privacy and ethical compliance
- Establish prompt engineering standards
- Implement intelligent automation
- Implement model evaluation processes
- Lead cross-functional delivery
- Provide architectural mentorship and guidance
- Select and integrate foundation models
- Set responsible AI guardrails
- Support pre-sales solution design
Perks/Benefits
Skills/Tech-stack
AI Governance | APIs | AWS | Azure | Cloud Platforms | Distributed Systems | Docker | ETL | Faiss | Fine Tuning | Generative AI | Google Cloud | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Model Risk Management | Model risk | Multimodal AI | Pinecone | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Risk Management | Scikit-learn | TensorFlow | Transformer | TypeScript | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Developer | Full Stack | Full Stack Developer | Stack Developer
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