AI Architect - Telecom Network Engineer
Tasks
- Build predictive maintenance and anomaly detection solutions
- Define AI strategy and architecture roadmap
- Design and build AI powered engineering assistants
- Develop incident triage and root cause analysis automation
- Ensure scalability reliability security observability and data quality
- Establish AI architecture standards and governance
- Integrate knowledge and operational data ecosystems
- Lead and mentor multidisciplinary AI and engineering teams
- Lead development of AI products and proof of concepts
- Support bids proposals and executive demonstrations
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Life insurance
- Medical, dental & vision coverage
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AI Governance | AI orchestration | APIs | Agent systems | Anomaly Detection | Azure | Cause analysis | Cloud Native | Cloud-native Architectures | Core networks | Data Engineering | Databricks | Enterprise Architecture | Fabric | Incident Management | Knowledge graphs | LLMOps | LLMs | MLOps | Multi-Agent | Multi-Agent Systems | Network Automation | Network operations | OSS/BSS | Predictive Maintenance | RAG | RAN | Root Cause Analysis | Root cause | Semantic Search | Service Assurance | Snowflake | Transport networks | Vector Databases
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Data Architect | Engineer
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