Subject Matter Expert

We are looking for a Senior Networks and Artificial Intelligence Subject Matter Expert (SME) with extensive experience in telecommunications environments, multi-domain networks, and digital transformation, capable of technically leading business opportunities from pre-sales to the execution and evolution of managed services.

The professional will act as a technical reference in the domains of Fixed Access, Mobile Access, IP, Transport, Core, Telco Cloud, Autonomous Networks, Artificial Intelligence, Automation, and Agentic AI, supporting both the definition of strategic solutions and their implementation and operation. The position requires an end-to-end vision of the network and operational processes, identifying opportunities to increase autonomy, efficiency, and service quality through advanced automation and AI technologies. Concepts of Autonomous Networks, process automation, and evolution towards advanced levels of autonomy are part of the capabilities demanded in the most recent initiatives in the sector.

• Lead discovery sessions and workshops with clients to identify operational challenges and transformation opportunities.
• Define next-generation network architectures based on automation and artificial intelligence.
• Prepare technical proposals, RFP/RFI/RFQ responses, and executive presentations.
• Design transformation roadmaps towards Autonomous Network and Smart Operations models.
• Evaluate technologies, platforms, and partner ecosystems related to AI, observability, automation, and orchestration.
• Participate in estimations, team sizing, service models, and business cases.
• Act as a technical authority during the transition, implementation, and operation of solutions.
• Ensure alignment between the offered solution and the delivered solution.
• Coordinate multidisciplinary teams of engineering, development, automation, and operations.
• Supervise detailed designs, migration plans, acceptance tests, and production deployment.
• Lead the resolution of critical incidents and complex multi-domain problems.
• Define best practices, technical standards, and methodological frameworks.
• Design AI-based solutions for network operations (AIOps).
• Define end-to-end automation architectures for operation and assurance processes.
• Implement Closed Loop Automation and Intent-Based Networking models.
• Participate in Agentic AI projects applied to network operations and service management.
• Develop use cases based on intelligent agents capable of analyzing, deciding, and executing actions on the infrastructure.
• Promote the adoption of advanced observability platforms, predictive analytics, and proactive anomaly detection.
• Identify opportunities for reducing operational costs through automation and autonomy.

• FTTH, xDSL, GPON/XGS-PON.
• Aggregation and access networks.
• OSS and provisioning platforms.

• 4G/5G SA and NSA.
• RAN, Open RAN, and Small Cells.
• 4G and 5G Core (AMF, SMF, UPF, AUSF, PCF, UDM).
• VoLTE and VoWiFi.

• MPLS, Segment Routing, EVPN/VXLAN.
• OSPF, ISIS, BGP, and QoS.
• DWDM and SDH optical networks.
• Backbone architectures and convergent transport networks.

• Kubernetes and OpenShift.
• NFV Virtualization.
• Containers and microservices.
• CI/CD applied to Telco environments.

• TM Forum Autonomous Networks.
• AIOps and advanced analytics.
• Digital Twin.
• Intent-Based Networking.
• Multi-domain orchestration and end-to-end automation.

• Generative AI applied to telecommunications operations.
• Agentic AI and autonomous agents.
• AIOps.
• Machine Learning applied to operations and maintenance.
• MLOps and model lifecycle.
• RAG (Retrieval Augmented Generation).
• LLM and Small Language Models.
• Multi-agent frameworks (AutoGen, CrewAI, Semantic Kernel, LangGraph, or equivalents).
• Automation with Python, Ansible, Terraform, and CI/CD pipelines.
• REST APIs, GraphQL, and event-driven architectures.