Manager AI Products

Ooredoo Qatar; Doha; On-site; QAR 350,000 - 550,000; Full time

Job summary

Ooredoo Qatar seeks a Manager AI Products to lead the AI Hub's production AI systems, from design to deployment, spanning training, fine-tuning, LLM apps, and agentic workflows. You will collaborate with the AI Solutions Architect to ensure reliability, performance, and continuous improvement of deployed AI solutions within the enterprise platform ecosystem.

You will drive cross-functional initiatives, set technical direction, and mentor a team of engineers to deliver scalable AI capabilities

Qualifications

• 10 years' experience in a similar role.
• Proficiency in Python and its AI/ML ecosystem: PyTorch or TensorFlow, Hugging Face Transformers, LangChain.
• Experience building LLM applications: prompt engineering, RAG pipelines, embeddings, vector databases.
• Experience with cloud AI services: Azure OpenAI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI.
• Solid software engineering fundamentals: REST API design, Docker/Kubernetes, CI/CD, Git workflows.
• Experience integrating AI systems with enterprise platforms via APIs or event-driven architecture.
• Experience designing agent-to-agent (A2A) solutions and multi-agent orchestration.
• Familiarity with MLOps tools: MLflow, Kubeflow, Azure MLPipelines.
• Knowledge of BSS/OSS or CRM integration in telecom context.
• Speech-to-text, text-to-speech, or multi-modal AI for voice self-service.

Responsibilities

• Turn architectural designs and product specs into production-deployed AI systems.
• Work across training, fine-tuning, LLM-powered apps, and agentic workflows.
• Collaborate with the AI Solutions Architect to ensure reliability, performance, and continuous improvement of deployed AI systems.

Skills

Python

PyTorch

TensorFlow

HuggingFace

LangChain

RAG pipelines

Embedding models

Vector databases

REST API

Docker

Kubernetes

CI/CD

Git workflows

Agent frameworks

Education

Bachelor's Degree in Computer Science or Engineering

Tools

Pinecone

Weaviate

Kubeflow

MLflow

Azure MLPipelines

Job description

Role :

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.

This role spans the full technical stack of modern AI engineering: 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 consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.

About the Business Unit :

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. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.

Minimum Experience, Essential Knowledge & Skills :

• 10 years' experience in a similar role.
• Strong proficiency in Python and its AI/ML ecosystem: PyTorch or TensorFlow, Hugging Face Transformers, Lang Chain, and related libraries.
• Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search).
• Experience with major cloud AI services: Azure OpenAI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI.
• Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows.
• Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture.
• Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms.
• Experience with agentic AI frameworks: LangGraph, AutoGen, CrewAI, or Microsoft Semantic Kernel multi-agent orchestration.
• Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms.
• Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context.
• Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications.

Minimum Qualifications :

• Bachelor's Degree in Computer Science or Engineering or Similar