AI Solutions Architect
Tasks
- Advise clients on scalable AI architectures
- Apply MLOps practices
- Architect batch processing pipelines
- Architect real time inference platforms
- Build data pipelines
- Collaborate with data scientists and engineers
- Conduct proof of concept efforts
- Contribute to AI roadmap
- Define AI development and operations standards
- Deploy AI models in production
- Design end-to-end AI solutions
- Develop architecture blueprints
- Ensure data privacy compliance
- Evaluate AI tools and frameworks
- Implement governance observability security controls
- Implement hybrid-cloud and multi-cloud strategies
- Integrate AI systems with enterprise services
- Lead architecture reviews and presentations
- Mentor technical teams
- Provide evidence based technology recommendations
- Translate generative AI trends into production solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Batch Processing | Cloud Native | Computer Vision | Data Engineering | Data Lakes | Data Pipelines | Generative AI | Hugging Face | Hybrid Cloud | Kafka | Language Processing | MLOps | Machine Learning | Microservices | Model Deployment | Multi-cloud | Multimodal AI | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Real Time | Real-time Inference | Security controls | Spark | System Integration | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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