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AI Solution Architect - Lawful Intercept
Description
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
1. Proven experience as a Senior Solution Architect, specifically with AI and ML-focused projects.
2. Demonstrable hands-on experience in the end-to-end implementation of AI solutions in production environments.
3. In-depth knowledge and professional experience within the telecommunications (Telco) industry.
4. Strong understanding of the principles, technologies, and regulatory landscape of Lawful Interception.
5. Expertise in dimensioning, deploying, and managing large language models (LLMs).
6. Proficiency in designing and implementing solutions on both private (e.g., OpenShift, VMWare) and public cloud (e.g., AWS, Azure, GCP) infrastructure.
7. Experience with full-stack development concepts and architecting multi-modal AI systems.
8. Strong understanding of MLOps principles and building scalable, automated AI pipelines.
Desirable
1. Familiarity with telecommunication standards such as ETSI and 3GPP.
2. Experience with containerization and orchestration technologies like Docker and Kubernetes.
3. Cloud and AI/ML certifications from major providers (e.g., AWS Certified Solutions Architect, Google Professional Machine Learning Engineer).
4. Experience with data engineering and big data technologies (e.g., Spark, Kafka).
5. Excellent stakeholder management and communication skills, with the ability to articulate complex technical concepts to non-technical audiences.
Getting StartedA few quick details so we know how to reach you
How did you hear about us? *
Which country's passport do you hold? *
Email *(Please ensure the email matches the one mentioned in your CV or resume)
LinkedIn Profile URL *
Please mention your notice period *
Let’s Get to Know You BetterA few short questions to understand your experience and what you enjoy doing
1. Do you have professional experience working directly for a telecommunications operator or vendor? *
2. Have you worked on projects directly involving lawful interception systems or standards? *
3. Do you have hands-on experience leading the implementation of an AI solution into a production environment? *
4. Have you been responsible for calculating the infrastructure requirements (dimensioning) for and deploying large language models? *
5. Do you have experience deploying AI solutions on both public cloud platforms (like AWS/Azure/GCP) and private cloud/on-premise infrastructure? *
6. Have you held a senior architect role where your primary focus was designing and developing AI-driven capabilities? *
Final DetailsSalary expectations and any supporting credentials
1. Where does your salary sit today (so we can help it move up tomorrow)?*
Enter your monthly salary in your local currency
2. What’s the number that’ll make you say "this is worth it"?*
Per month, in the currency mentioned
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