Principal Engineer, AI

Job Description

a) IP & Broadband (Core + Access + Transmission)
Design and implement automation frameworks across: IP Core (BNG, routing),Broadband Access (OLT/ONT) &Transmission and transport networks
Enable automated provisioning, configuration management, and lifecycle operations.
Develop standard APIs and integration interfaces for network actions.
Implement configuration compliance and drift management mechanisms.
Support high availability and resilience readiness (failover, rerouting support).
Integrate network telemetry into centralized platforms AI-driven diagnostics and closed-loop automation workflows.
Ensure all automation workflows are secure, auditable, and compliant.
b) Data Centre Operations (Infrastructure Automation + Energy & Space Optimization)
Automate compute, storage, and network provisioning across data center environments.
Develop runbook automation for operational tasks (restart, failover, scaling).
Automate patching, upgrades, and lifecycle management.
Enable infrastructure data pipelines and integrations to support AI-based anomaly detection and predictive maintenance systems.
Enable event-driven execution workflows from monitoring systems.
Maintain automation pipelines (CI/CD) for infrastructure operations.
Ensure robust execution frameworks with rollback and validation mechanisms.
Enable centralized monitoring of Power consumption (UPS, PDU), Cooling systems (HVAC, CRAC) & Environmental metrics (temperature, airflow, humidity)
Enable automation readiness for Cooling optimization and airflow balancing and Power utilization tracking (PUE and efficiency metrics)
Enable execution of optimization actions to improve energy efficiency and reduce costs.
Support data collection and execution readiness for AI-driven energy optimization (cooling efficiency, power balancing).
c) Business Innovation & Strategic Projects
Embed automation-first principles into transformation programs (e.g., iBNG, SiX AntiDDoS, IP-Optical SRv6 Network etc).
Enable zero-touch provisioning (ZTP) for new deployments.
Develop API-driven and programmable interfaces for new systems.
d) Monitoring, Visibility & Dashboard Enablement
Implement centralized monitoring frameworks across network and data center domains.
Enable real-time visibility of performance, utilization, and environmental metrics.
Integrate telemetry into DCIM and monitoring platforms.
Support development of Operational dashboards (NOC / CXOps) &Executive dashboards (capacity, utilization, risk)
Enable alarm ingestion and visualization (without owning RCA logic).
Enable dashboards that incorporate AI-driven insights (e.g., anomaly indicators, predictive alerts)
Ensure telemetry pipelines support AI/ML consumption (real-time, structured, high-quality data feeds).
e) Automation of Operations
Develop automation for Provisioning and configuration management,Infrastructure and network lifecycle operations &Runbook automation for repetitive tasks
Enable execution of Network actions (configuration updates, resets) & Infrastructure actions (restart, scaling)
Provide secure, standardized APIs for execution.

Qualifications

Bachelors Degree in Engineering, Computer Science, or related field
8 10 years of experience inNetwork or data center operations & automation / system integration
Strong understanding ofIP networking and broadband architecture &Data center infrastructure (power, cooling, monitoring)
Experience withAutomation tools (Python, Ansible, Scripting),API integrations and system orchestration,Monitoring and observability platforms &AI/ML-enabled operations (AIOps) concepts and data pipelines
Preferred Skills :DCIM tools,Cloud environments (AWS / GCP / Azure),TR-069 / TR-369 (device management) & familiarity with data platforms (e.g., telemetry systems, data lakes)