Role Overview
We are seeking a highly experienced AI Solution Architect to lead the design and implementation of advanced AI solutions within the lawful intercept domain. The ideal candidate will leverage a strong background in telecommunications to develop cutting-edge capabilities around specific use cases. This senior role requires hands-on experience in architecting and deploying complex AI systems, particularly large language models. You will be responsible for the entire solution lifecycle, from conceptualization and dimensioning to deployment on both private and public cloud infrastructures. This position is critical for driving innovation at the intersection of AI and telecommunications, ensuring our solutions are scalable, secure, and compliant. Your expertise will shape the next generation of intelligence capabilities in a highly regulated environment.
Requirements
- Proven experience as a Senior Solution Architect, specifically with AI and ML-focused projects.
- Demonstrable hands-on experience in the end-to-end implementation of AI solutions in production environments.
- In-depth knowledge and professional experience within the telecommunications (Telco) industry.
- Strong understanding of the principles, technologies, and regulatory landscape of Lawful Interception.
- Expertise in dimensioning, deploying, and managing large language models (LLMs).
- Proficiency in designing and implementing solutions on both private (e.g., OpenShift, VMWare) and public cloud (e.g., AWS, Azure, GCP) infrastructure.
- Experience with full-stack development concepts and architecting multi-modal AI systems.
- Strong understanding of MLOps principles and building scalable, automated AI pipelines.
Desirable
- Familiarity with telecommunication standards such as ETSI and 3GPP.
- Experience with containerization and orchestration technologies like Docker and Kubernetes.
- Cloud and AI/ML certifications from major providers (e.g., AWS Certified Solutions Architect, Google Professional Machine Learning Engineer).
- Experience with data engineering and big data technologies (e.g., Spark, Kafka).
- Excellent stakeholder management and communication skills, with the ability to articulate complex technical concepts to non-technical audiences.
This vacancy remains open and applications are being reviewed. Originally posted .