Technical Architect – AI & GenAI Specialization
Tasks
- Address risks from AI hallucinations and adversarial attacks
- Apply ethical AI bias mitigation and fairness
- Architect AI powered platforms for GenAI
- Build data pipelines and feature stores
- Collaborate with engineering, data science, and product teams
- Define AI architecture for enterprise applications
- Deploy AI solutions on Azure AI AWS SageMaker Google Vertex AI or OpenAI
- Develop AI frameworks and models
- Ensure scalability security and compliance
- Implement AI governance for explainability accountability and security
- Implement data privacy compliant AI
- Implement knowledge distillation
- Implement retrieval-augmented generation
- Implement vector databases
- Integrate AI with existing enterprise systems
- Optimize model performance with prompt engineering
- Provide technical mentorship for AI engineers
- Set up MLOps and AIOps monitoring
- Train fine tune and deploy LLMs
- Use Docker and Kubernetes for cloud native scalability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AIOps | AWS SageMaker | Artificial Intelligence | Azure AI | Bias Mitigation | CI/CD | Data Lakes | Data Pipelines | Data Privacy | Data privacy compliance | Docker | Embeddings | Event Driven | Event-driven architecture | Faiss | Feature Stores | Generative AI | Go | Google Vertex | Google Vertex AI | GraphQL | Hugging Face | Java | Knowledge Distillation | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | OpenAI | Pinecone | Privacy Compliance | Prompt engineering | PyTorch | Python | REST | Retrieval-Augmented Generation | Serverless | Streaming Analytics | TensorFlow | Vector Databases | Vertex AI | Weaviate
Education
Roles
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