Autonomous Networks OSS & AIOps Architect

Capgemini Engineering; Newbury; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid working model

Learning & development access

Diversity & inclusion programs

Job summary

Capgemini Engineering in the United Kingdom seeks an OSS & AIOps Engineer to build autonomous network operation capabilities. You will shape inventory intelligence, alarm correlation, and KPI modelling across RAN, Core, Transport and cloud environments.

You will work with data pipelines, API integrations, and AI-assisted assurance workflows, collaborating with TMF Open APIs and multi-vendor OSS platforms to enable autonomous decisioning.

Qualifications

• Experience in OSS engineering, network assurance, AIOps, telecom operations, or service assurance.
• Strong experience with fault management, alarm correlation, performance management, inventory, and service assurance.
• Experience working with multi-vendor OSS platforms and network management systems.
• Understanding of telecom domains such as RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and fixed networks.
• Experience with AIOps concepts including anomaly detection, event correlation, incident prediction, and root-cause analysis.
• Experience integrating OSS systems using APIs, data pipelines, message queues, and event-driven architectures.
• Understanding of TMF Open APIs and telecom data models.
• Strong knowledge of network KPIs, service KPIs, alarm models, topology, and inventory data.
• Experience with data aggregation, cleansing, enrichment, and reconciliation.

Responsibilities

• Design and implement OSS intelligence capabilities for autonomous network operations.
• Build automated inventory models using topology, configuration, service, resource, and dependency data.
• Develop alarm correlation, event enrichment, deduplication, suppression, and root-cause analysis workflows.
• Define and implement performance KPI aggregation models across RAN, Core, Transport, IP, SD-WAN, Cloud, and OSS domains.
• Support AIOps use cases including anomaly detection, fault prediction, incident prioritisation, event correlation, and service impact analysis.
• Integrate OSS platforms with data pipelines, AI/ML platforms, orchestration platforms, and automation engines.
• Develop data aggregation pipelines from EMS/NMS, assurance tools, inventory systems, telemetry platforms, ticketing systems, and log platforms.
• Support closed-loop automation by providing high-quality operational state, fault context, topology context, and KPI insights.
• Implement TMF Open API-based integrations for inventory, alarm, performance, service, and trouble ticket processes.
• Work with AI/LLM engineers to enable RAG and agentic AI use cases using OSS data.
• Define service-impact models and dependency maps for network services and customer services.
• Support digital twin and graph-based topology modelling for autonomous network decisioning.
• Establish data quality checks, reconciliation rules, and operational data governance practices.

Skills

OSS engineering

AIOps

Fault management

Alarm correlation

Performance management

Inventory modelling

Data pipelines

API integration

Python

Graph-based data models

Tools

TM Forum OSS/AIops platforms

Graph databases

BigQuery

Vertex AI

Kafka

Job description

Capgemini Engineering in the United Kingdom seeks an OSS & AIOps Engineer to build autonomous network operation capabilities. You will shape inventory intelligence, alarm correlation, and KPI modelling across RAN, Core, Transport and cloud environments.

You will work with data pipelines, API integrations, and AI-assisted assurance workflows, collaborating with TMF Open APIs and multi-vendor OSS platforms to enable autonomous decisioning.