As a Senior Solution and System Architect in Autonomous Networks, you will play a key role in shaping innovative software solutions across performance management, fault management, data management, and AI/ML—aligning closely with customer needs and strategic goals. This role calls for a seasoned architect with deep expertise in assurance and evaluation, capable of designing and delivering end-to-end solutions. You will define system specifications, design input/output processes, and ensure the success of integrated architectures that drive the evolution towards autonomous networks.

You have : 

15 years of hands-on experience in business intelligence, data science, and analytics with a Bachelor’s or Master’s degree in Computer Science, Data Science, or related fieldDeep expertise in AI, ML, Python, and dashboard development toolsFamiliarity with the telecom networks, systems, and analytics use casesDemonstrated experience guiding analytics teams and managing the project lifecycleHands-on experiences in designing and building assurance and analytics solutions

It would be nice if you also had:

Certifications in Data Science, Machine Learning, and Cloud Platforms (e.g., AWS, GCP)Exposure to SaaS-based analytics delivery and customer success initiativesFront-end the design and deployment of scalable assurance and analytics solutions across telecom and enterprise environments.Translate complex technical insights into clear, actionable business requirements for internal teams and stakeholders.Architect real-time dashboards and advanced event evaluation to enhance visibility and decision-making.Own the full lifecycle of AI/ML projects—from data preparation through to model deployment.Guide and engage with cross-functional teams, ensuring high-quality and timely solution delivery.Engage directly with customers in pre-sales activities, including solution discussions and proof-of-concept development.Work with global teams to align and review initiatives with business goals while driving innovation through emerging AI and data science technologies.