Artificial Intelligence - AI Architect
Tasks
- Architect RAG pipelines
- Define AI solution best practices
- Design data pipelines and ETL
- Design end to end AI and ML solutions
- Develop vector database solutions
- Ensure security privacy and ethical AI
- Establish prompt engineering standards
- Evaluate and govern responsible AI guardrails
- Integrate foundation models
- Lead development of LLM-powered applications
- Provide AI architecture mentorship and guidance
- Support pre sales client solutioning and presentations
Perks/Benefits
Skills/Tech-stack
AI Governance | API | AWS | Azure | Data Pipelines | Distributed Systems | Docker | ETL | Faiss | Fine Tuning | Generative AI | Google Cloud | Java | 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 | RAG | Risk Management | Scala | Scikit-learn | TensorFlow | Transformer | TypeScript | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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