AI System Architect – Next-Generation Network Management Platform

Telence Solutions; Toronto; Sur place; CAD 120 000 - 160 000; Plein temps

Résumé du poste

Telence Solutions is looking for an AI System Architect to lead the design of their innovative network management platform in Toronto, Ontario. This role requires a strong background in software architecture with a focus on AI technologies.

The ideal candidate will collaborate with software developers and network architects, defining architectural standards while ensuring scalability and best practices in AI. This is a unique opportunity to shape a cutting-edge platform in the Telecommunications sector.

Qualifications

• Experience with multiple AI frameworks and models.
• Experience designing distributed and microservices architectures.
• Strong understanding of LLMs, Generative AI, and MLOps practices.

Responsabilités

• Define overall architecture for network management.
• Evaluate AI approaches and technologies.
• Guide engineering teams in architectural decisions.

Connaissances

Software architecture

AI/ML systems

Python

Leadership skills

APIs

Formation

10+ years in software architecture

5+ years in AI/ML systems

Outils

PyTorch

TensorFlow

LangChain

MLflow

AWS

Azure

Description du poste

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 modern 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 future of autonomous networks, we'd love to hear from you.