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 designs enterprise AI solutions, provides architectural leadership, and supports client discussions, presales, demonstrations, and technical presentations.
The role requires hands-on understanding of AI engineering and senior-level confidence with enterprise clients.
Key Skills for This Role
Full Job Posting
About the Role
Accellor is seeking a Senior AI Architect with a strong foundation in Data Science, Machine Learning, and Artificial Intelligence.
The role designs enterprise AI solutions, provides architectural leadership, and supports client discussions, presales, demonstrations, and technical presentations.
The role requires hands-on understanding of AI engineering and senior-level confidence with enterprise clients.
Key Responsibilities
- Design end-to-end architectures for AI, Generative AI, and Machine Learning solutions.
- Translate client business requirements into scalable architectures and define technology, integration, and deployment approaches.
- Architect solutions using Python and Microsoft Azure across 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 for model development, deployment, monitoring, governance, scalability, security, performance, and responsible AI.
- Support GenAI, LLM, and enterprise AI use cases, presales, technical proposals, effort estimation, demonstrations, workshops, and proof-of-concept discussions.
- Collaborate with delivery and product teams to move AI solutions from concept or proof of concept into production.
- Travel to client locations across the UAE as required.
Requirements
- 12+ years of overall technology or data experience.
- Strong earlier-career experience in Data Science, Machine Learning, or AI Engineering.
- Approximately 2–3+ years working specifically in AI Architecture or Solution Architecture.
- Advanced knowledge of Python and strong Microsoft Azure experience.
- Experience architecting enterprise AI and Machine Learning solutions.
- Understanding of modern AI technologies, including Deep Learning, Generative AI, LLMs, RAG, AI APIs, MLOps, LLMOps, deployment, monitoring, data pipelines, and cloud architecture.
- 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 4, Accenture, global consulting, or major technology services experience is advantageous.
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