Senior AI Architect

Job Description

Requirements

• - 12+ years of overall technology/data experience.
• - Strong earlier career experience in Data Science / Machine Learning / AI Engineering.
• - Approximately 2–3+ years working specifically in AI Architecture / Solution Architecture.
• - Advanced knowledge of Python.
• - Strong Microsoft Azure experience.
• - Experience architecting enterprise AI/ML solutions.
• - Understanding of modern AI technologies including: Machine Learning / Deep Learning, Generative AI and LLMs, RAG architectures, AI APIs and integration, MLOps / LLMOps, Model deployment and monitoring, Data pipelines and cloud architecture
• - Ability to move beyond experimentation and design production-grade enterprise AI solutions.
• - Strong client-facing and presentation skills.
• - Comfortable supporting presales, technical demonstrations and solution workshops.
• - Consulting or system-integration background strongly preferred.
• Preferred Experience:
• - Azure AI Services / Azure Machine Learning / Azure OpenAI exposure.
• - Experience with enterprise GenAI and LLM implementations.
• - Experience working with UAE government or large enterprise clients.
• - Previous Big 4, Accenture, global consulting or major technology services experience would be advantageous.
• Ideal profile: A senior professional who started in Data Science / Machine Learning, progressed into AI engineering/technical leadership, and is currently operating as an AI Architect, rather than someone whose experience is limited to traditional data architecture or analytics.

Responsibilities

• - Design end-to-end architecture for AI, Generative AI and Machine Learning solutions.
• - Translate client business requirements into scalable AI solution architectures.
• - Define AI architecture patterns, technology choices, integration approaches and deployment models.
• - Architect AI solutions leveraging Python and Microsoft Azure.
• - Work across AI/ML models, APIs, data platforms, cloud services and enterprise applications.
• - Provide technical leadership to Data Scientists, ML Engineers, AI Engineers and application development teams.
• - Design scalable production architectures covering model development, deployment, monitoring and governance.
• - Support GenAI, LLM and enterprise AI use cases, where applicable.
• - Participate in presales activities including solution design, technical proposals and effort estimation.
• - Conduct client demonstrations, workshops, presentations and proof-of-concept discussions.
• - Collaborate with delivery and product teams to move AI solutions from concept/POC into production.
• - Ensure AI solutions meet enterprise requirements for scalability, security, performance and responsible AI.
• - Travel to client locations across the UAE as required.

Skills Required