AI Architect
Tasks
- Advise clients on cloud strategy modernization migration and transformation
- Conduct assessments workshops discovery sessions and strategic planning
- Create reusable architectural blueprints and reference models
- Define AI deployment strategy for cloud on premise or hybrid
- Design end-to-end AI architecture
- Design orchestration deployment and monitoring for AI systems
- Develop data architectures for structured and unstructured data
- Embed security access control and responsible AI into architectures
- Govern AI and machine learning solution architecture
- Implement data governance frameworks policies standards and controls
- Integrate data sources model pipelines APIs and enterprise systems
- Translate business requirements into scalable architectures
Perks/Benefits
- Certification opportunities
- Coaching
- Hybrid work culture
- Training and learning opportunities
- Well-being programs
Skills/Tech-stack
AI Deployment | API Integration | Agentic AI | Cloud Architecture | Cloud Native | Containerization | Data Governance | Data Modeling | Data Privacy | Data Quality | Data orchestration | Generative AI | Hybrid Cloud | Kubernetes | Machine Learning | Monitoring | OpenShift | Responsible AI | Security Architecture
Education
N/A
Roles
AI | AI Architect | Architect
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