As the  Architect, you will play a pivotal role in shaping and delivering the architecture of Nokia’s AI Studio platform. This hands-on role is central to the development of Nokia’s next-generation AI-centric and SaaS products, laying the foundation for future innovations. The position involves close collaboration across internal teams, including product management, and direct engagement with customers to ensure the platform meets evolving business needs. Telecom domain expertise is essential to align the platform with Nokia’s strategic goals and customer expectations.
 

 

Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.8+ years of experience in data platform architecture, AI/ML systems, or enterprise software.Expertise in cloud platforms (e.g., AWS, Azure, GCP) and hybrid compute architectures.Telecom domain expertise, with a strong understanding of industry-specific requirements and challenges.Experience building and deploying AI-centric products and SaaS platforms.Proficiency in MLOps frameworks and deploying LLMs in production environments.Expertise in data governance, lineage, and quality management frameworks.Hands-on experience with data lakehouse technologies (e.g., Delta Lake, Apache Iceberg).Strong understanding of data mesh principles and distributed data architecture.Excellent leadership, communication, and collaboration skills, with the ability to engage with both internal teams and customers.
 

 

Architectural Leadership:Design and evolve the end-to-end architecture of the AI Studio platform, ensuring it supports Nokia’s vision for next-generation AI and SaaS products.Provide technical guidance and mentorship to engineering teams, ensuring robust, scalable, and future-ready implementations.Platform Development:Lead the integration of dynamic data onboarding processes and establish a semantic layer with business terms exposed to the data catalog.Oversee the implementation of data governance policies, ensuring compliance with regulatory and business requirements.Data Infrastructure & Management:Architect a hybrid platform that supports both on-premise and cloud-based compute environments.Implement and manage efficient compute pipelines for real-time and batch processing, supporting MLOps pipelines and LLM data flows.Drive the use of data lakehouse architecture for scalable, large-scale analytics.Data Store & Mesh Capability:Abstract the implementation of diverse data stores to enable seamless data source swapping.Design and integrate data mesh capabilities, ensuring datasets in the catalog can be combined for broader use cases.Hands-on Collaboration & Stakeholder Engagement:Work closely with product management to align the platform’s technical vision with market needs and evolving SaaS offerings.Engage directly with customers to gather feedback and ensure the platform solves key pain points in the telecom industry and beyond.Continuous Delivery & Operations:Ensure the platform is fully continuous delivery (CD) ready, enabling smooth updates and deployments.Maintain a clear separation between metadata and content to ensure modularity and flexibility.Telco Industry Expertise & Innovation:Apply deep telecom domain expertise to design solutions tailored to industry-specific requirements and emerging opportunities.Stay updated with the latest trends in AI, MLOps, SaaS, and cloud technologies to integrate innovations into the platform.Represent Nokia’s AI Studio in industry forums and engage with external partners to explore strategic opportunities.