26 Oct
|
Telence Solutions
|
Toronto
26 Oct
Telence Solutions
Toronto
Industry: Telecommunications, AI, Network Automation
About Telence Solutions
Telence Solutions is building a next-generation AI-driven Network Management System designed to support multi-vendor environments and enable intelligent operations, automation, and closed-loop remediation. Our platform aims to combine traditional network management with up-to-date AI capabilities to deliver autonomous and highly scalable network operations.
Role Overview
The AI System Architect will provide technical leadership for the design and evolution of our in-house network management platform. This individual will work closely with software developers, network architects, and product leadership to establish a scalable and future-proof architecture while incorporating industry best practices across AI, machine learning, data engineering, and agentic workflows.
This is a strategic role requiring both architectural depth and hands‑on understanding of modern AI technologies.
Key Responsibilities
- Define the overall AI architecture for a next-generation network management platform.
- Design scalable frameworks supporting:
- Fault detection and correlation
- Root cause analysis
- Predictive analytics
- AI-assisted troubleshooting
- Intelligent workflows and agentic AI
- Evaluate and recommend appropriate AI approaches including:
- Small Language Models (SLMs)
- Classical Machine Learning models
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- Multi-agent systems
- Assess trade-offs between open-source and commercial AI models.
- Define best practices for model training, inference,
and lifecycle management.
System Design & Scalability
- Architect microservices-based and cloud-native solutions.
- Define data pipelines and AI workflows.
- Design scalable APIs and integration frameworks.
- Ensure high availability, resiliency, observability, and security.
- Establish AI governance and MLOps practices.
- Streaming telemetry
- Syslogs
- SNMP data
- Event and alarm information
- Historical performance metrics
- Recommend storage technologies and vector databases.
- Develop data quality and labeling strategies.
Technical Leadership
- Guide engineering teams on architectural decisions.
- Conduct design reviews and technology evaluations.
- Create architecture standards and reference frameworks.
- Mentor developers and AI engineers.
- Stay current with advancements in AI and autonomous networking.
Required Qualifications
- 10+ years of software architecture and platform design experience.
- 5+ years working with AI/ML systems and production deployments.
- Experience with multiple AI frameworks and models.
- Strong understanding of:
- LLMs and Generative AI
- Agentic AI architectures
- RAG systems
- MLOps practices
- Prompt engineering and evaluation frameworks
- Experience with Python and AI frameworks such as:
- PyTorch
- TensorFlow
- LangChain
- MLflow
- Familiarity with cloud environments including AWS and Azure.
- Experience designing distributed and microservices architectures.
- Strong knowledge of APIs, databases, and event-driven systems.
- Excellent communication and technical leadership skills.
Preferred Experience
Experience with telecom or network management platforms such as:
- Ciena Navigator
- Blue Planet
- ServiceNow
- Grafana
Knowledge of:
- IP/MPLS networks
- Optical transport networks
- SD-WAN
- Streaming telemetry
- OpenConfig/YANG
- NETCONF/gNMI
- Kubernetes and containerized environments
What Success Looks Like
- Define the AI reference architecture for the platform.
- Establish AI model selection and governance processes.
- Guide the development team on scalable AI design patterns.
- Build the foundation for autonomous network operations and closed-loop remediation.
- Help create a world-class, multi-vendor AI-enabled network management system.
Why Join Telence Solutions?
- Opportunity to shape a greenfield AI platform from the ground up.
- Work on cutting-edge technologies including Agentic AI and autonomous networking.
- Influence architecture and technology decisions.
- Collaborate with experienced telecom and network professionals.
- Build a platform that can redefine network operations for service providers and enterprises.
If you are passionate about AI, software architecture, and the futur
📌 AI System Architect – Next-Generation Network Management Platform (Toronto)
🏢 Telence Solutions
📍 Toronto