AI Architect
Tasks
- Build AI ML solution architectures for ingestion training orchestration deployment
- Design AI systems using LLM and generative AI
- Develop agent workflows using AI frameworks
- Ensure responsible AI security compliance governance and ethical use
- Evaluate new generative AI and agentic AI tools for enterprise integration
- Fine-tune open-source and proprietary LLMs
- Implement AI observability for drift bias performance reliability
- Implement prompt engineering and retrieval-augmented generation
- Lead deployment of enterprise AI applications including copilots chatbots document intelligence
- Provide technical leadership through architecture reviews and mentoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | Azure Machine Learning | Azure OpenAI | CI/CD | Chroma | Cloud platform | Docker | Faiss | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Milvus | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SageMaker | Semantic Kernel | TensorFlow | Vector Database | Vertex AI
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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