Architect for Data AI NT Domain fm

Job Description:

Join Group Technologys Network Automation unit where youll be at the forefront of data AI and automation strategy and architecture. As the Lead Architect for Network Data & AI youll work closely with senior management top experts and key stakeholders across the group including technology units in the DE and EUsegments. Your mission will be to design define and establish the architecture and roadmap for advanced AI and datadriven solutions for Deutsche Telekoms telecommunications networks. This role requires tight alignment with strategic objectives and guiding in a highperforming approach to drive innovation. Youll be part of the team working on reimagining the network through cuttingedge technologies and AI to futureproof sustainable and costefficient telco operations bringing Deutsche Telekom to the next level of applied innovation.

Key Responsibilities:

• You are defining the strategic networkrelated Data & AI architecture and related roadmap together within our Data Strategy team.
• You will align AI initiatives in focus with respective governance bodies and prime stakeholders across Deutsche Telekoms technology units on both group and national levels.
• You represent DT on international conferences and AI initiatives discussing leading edge approaches with important industry players and research communities.
• You are working within a crossfunctional team of solution architects Data and AI experts.
• You are helping to identify future innovation topics and AI use cases to transform network and service lifecycles with clear contributions to improved cost cases revenue potentials enhanced customer experience and overall resilience and sustainability of Telco production.
• You will collaborate with stakeholders to explore AI advancements for improved efficiency automation and customer experience to ensure maximum scale across DT group.

Requirements:

• 5 years of experience in AI data architecture and telecommunications.
• Proven expertise in designing AIdriven solutions particularly for telecom networks.
• Strong collaboration skills with experience running solution teams.
• Indepth knowledge of AI machine learning BI big data technologies Data Management Data Mesh Data Modelling Techniques and their applications in the network domain.
• Proven experience in building solution architecture teams across domains dealing with data and AI business demands in network operation domains (RAN Core Transport etc..
• Basic understanding of telecom network architecture (e.g. 5G SDN NFV IMS) and OSS/BSS systems.
• Proficiency in cloudnative architecture containerization and edge computing technologies for telecom applications.
• Proven experience in Application Management and Network Operations.
• Strong strategic thinking communication and innovationdriven mindset
• Monitor and engage with external developments in academia research & analysis vendors startups competitors and standard development organizations (SDOs) to ensure the integration of cuttingedge technologies and best practices.
• English Level B2 better C1.

Qualifications :

• Experience with AI/ML technologies and frameworks and understanding of AI/ML Architecture principles.
• Certification in relevant technologies (e.g. AWS Microsoft Azure Google GCP .
• Previous experience in international or multicultural environments with the ability to work effectively across geographically dispersed teams.
• Strong analytical and problemsolving skills with a proactive and resultsoriented mindset.

Additional Information :

What do we offer you

• International positive dynamic and motivated work environment.
• Hybrid work model (telework/facetoface).
• Flexible schedule.
• Continuous training.
• Flexible Compensation Plan.
• Life and accident insurance.
• More than 26 working days of vacation per year.

And many more advantages of being part of TSystems!

If you are looking for a new challenge do not hesitate to send us your CV! Please send CV in English. Join our team!

TSystems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

Remote Work :

Yes

Employment Type :

Fulltime