Senior AI Architect
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Key skills for this role
Role Overview
Accellor is seeking a Senior AI Architect with a strong foundation in Data Science, Machine Learning, and Artificial Intelligence.
The role combines hands-on AI engineering understanding with enterprise architecture, technical leadership, client engagement, and presales responsibilities.
Key Skills for This Role
Full Job Posting
Role Overview
Accellor is seeking a Senior AI Architect with a strong foundation in Data Science, Machine Learning, and Artificial Intelligence.
The role combines hands-on AI engineering understanding with enterprise architecture, technical leadership, client engagement, and presales responsibilities.
Key Responsibilities
- Design end-to-end architectures for AI, Generative AI, and Machine Learning solutions.
- Translate client requirements into scalable architectures and define technology, integration, and deployment approaches.
- Architect solutions using Python, Microsoft Azure, AI and 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 production architectures covering model development, deployment, monitoring, governance, scalability, security, performance, and responsible AI.
- Support enterprise GenAI and LLM use cases and help move solutions from proof of concept into production.
- Participate in presales through solution design, technical proposals, effort estimation, demonstrations, workshops, and presentations.
- Travel to client locations across the UAE as required.
Requirements
- At least 12 years of overall technology or data experience.
- Strong earlier-career experience in Data Science, Machine Learning, or AI Engineering.
- Approximately 2–3 or more years working specifically in AI Architecture or Solution Architecture.
- Advanced Python knowledge and strong Microsoft Azure experience.
- Experience architecting enterprise AI and Machine Learning solutions.
- Understanding of Deep Learning, Generative AI, LLMs, RAG architectures, AI APIs, MLOps or LLMOps, model deployment and monitoring, data pipelines, and cloud architecture.
- Ability to design production-grade enterprise AI solutions beyond experimentation.
- Strong client-facing and presentation skills, with comfort supporting presales, demonstrations, and workshops.
- Consulting or system-integration background is strongly preferred.
Preferred Experience
- Exposure to Azure AI Services, Azure Machine Learning, or Azure OpenAI.
- Experience with enterprise Generative AI and LLM implementations.
- Experience with UAE government or large enterprise clients.
- Previous Big Four, Accenture, global consulting, or major technology services experience is advantageous.
Ideal Profile
A senior professional who progressed from Data Science or Machine Learning through AI engineering or technical leadership into an AI Architect role.
The preferred profile is not limited to traditional data architecture or analytics.
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