Technical Architect – AI & GenAI Specialization
Tasks
- Architect AI-powered platforms
- Collaborate with engineering data science product teams
- Communicate AI strategies to stakeholders
- Define AI architecture
- Design and deploy cloud AI solutions
- Develop AI frameworks and models
- Drive AI innovation
- Ensure AI applications are cloud-native and scalable
- Ensure AI solution scalability and compliance
- Ensure responsible AI principles and governance
- Execute training and deployment of LLMs and models
- Implement MLOps and AIOps
- Implement data pipelines and feature stores
- Mentor AI engineers and developers
- Optimize model performance
Perks/Benefits
Skills/Tech-stack
AIOps | AWS SageMaker | Artificial Intelligence | Azure AI | Cloud Native | Cloud-native infrastructure | Data Engineering | Data Pipelines | Deep learning | Docker | Embeddings | Event Driven | Event-driven architecture | Faiss | Generative AI | Go | Google Vertex | Google Vertex AI | GraphQL | Hugging Face | Java | Knowledge Distillation | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Vertex AI | Weaviate
Education
Roles
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