Manager AI Products
by Ooredoo in Telecommunications & Networking
The Manager AI Products role sits within Ooredoo's Strategy and Digital Transformation field and is part of the AI & Data Governance team. Ooredoo is a global Telecommunications player operating in 10 countries and serving more than 138 million customers, while Ooredoo Qatar employs approximately 1,600 people and aims to be the number one choice for world-class communications services in Qatar. The AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. The team also manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization. The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. The role spans the full technical stack of modern AI engineering, including training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect by consuming architecture blueprints and raising implementation feedback, and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems. The role requires 10 years' experience in a similar role and strong proficiency in Python and its AI/ML ecosystem, including PyTorch or TensorFlow, Hugging Face Transformers, Lang Chain, and related libraries. It requires practical experience building LLM applications, prompt engineering, RAG pipelines, embedding models, and vector databases such as Pinecone, Weaviate, and Azure AI Search. Experience is required with major cloud AI services including Azure OpenAI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. The role requires solid software engineering fundamentals including REST API design and consumption, containerisation using Docker/Kubernetes, CI/CD pipelines, and Git-based workflows. Experience is required integrating AI systems with enterprise software platforms via APIs or event-driven architecture. The role also requires experience designing, developing, and orchestrating agent-to-agent (A2A) solutions that enable autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Relevant agentic AI frameworks include LangGraph, AutoGen, CrewAI, or Microsoft Semantic Kernel multi-agent orchestration. The position requires familiarity with MLOps tooling such as MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context is required, together with experience in speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. The minimum qualification is a Bachelor's Degree in Computer Science or Engineering or Similar. The role is based in Doha, Qatar and is Full Time - Permanent.