AI System Architect - Next-Generation Network Management Platform

Location: Remote – open only to candidates based in Bengaluru or Hyderabad, India
Employment Type: Contract (Freelance)
Experience: 10+ years
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.
We are looking for an experienced AI System Architect to help define the architecture, technology roadmap, and AI strategy for this platform.
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:
AI Platform Architecture
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
Closed-loop automation
AI-assisted troubleshooting
Intelligent workflows and agentic AI
AI Models & Technologies
Evaluate and recommend appropriate AI approaches including:
Large Language Models (LLMs)
Small Language Models (SLMs)
Classical Machine Learning models
Time-series forecasting models
Reinforcement Learning
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.
Data Architecture
Define approaches for handling:
Streaming telemetry
Syslogs
SNMP data
Configuration 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
Embedding models
Vector databases
MLOps practices
Prompt engineering and evaluation frameworks
Experience with Python and AI frameworks such as:
PyTorch
TensorFlow
LangChain
LlamaIndex
Hugging Face
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:
Nokia NSP
Ciena Navigator
Cisco Crosswork
Juniper Paragon
Blue Planet
ServiceNow
Grafana
Prometheus
Knowledge of:
IP/MPLS networks
Optical transport networks
SD-WAN
Streaming telemetry
OpenConfig/YANG
NETCONF/gNMI
Kubernetes and containerized environments
What Success Looks Like
Within the first 12 months, you will:
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.

Work arrangement
Yes