AI Architect
Tasks
- Architect RAG semantic search and knowledge retrieval
- Build AI systems using LLMs embeddings prompt engineering and AI agents
- Collaborate with business data engineering and cloud teams
- Define enterprise AI architecture and roadmap
- Design end to end AI solutions using enterprise data
- Ensure AI security responsible AI data privacy and regulatory compliance
- Implement AI platform MLOps and LLMOps standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Governance | API | Agentic AI | Data Privacy | Distributed Systems | Embeddings | Generative AI | GraphRAG | Knowledge Management | Knowledge bases | LLMOps | LLMs | Langchain | Langgraph | MLOps | Microsoft Azure | Milvus | Orchestration frameworks | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect
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