Requirements
Requires 12+ years of technology/data experience, with a strong background in data science, machine learning, or AI engineering, and 2-3+ years specifically in AI architecture or solution architecture. Must have advanced Python and strong Microsoft Azure experience, with the ability to architect enterprise AI/ML solutions. Understanding of modern AI technologies like deep learning, generative AI, LLMs, RAG, AI APIs, MLOps, and cloud architecture is essential. Strong client-facing and presales skills are required.
Description
Job description / Role
Job Type
Full Time
Job Location
Abu Dhabi, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
IT - Software & Web Development
Company Industry
Software & Internet Services
Senior AI Architect
Accellor is looking for a senior AI architect with a strong foundation in data science, machine learning, and artificial intelligence who has progressed into an AI architecture role.
The successful candidate will design enterprise AI solutions, provide architectural leadership to delivery teams, and participate in client discussions, presales activities, solution demonstrations, and technical presentations.
The role requires someone who is technically hands-on enough to understand AI engineering while being senior enough to engage confidently with enterprise clients.
Key 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.
Requirements
12+ years of overall technology/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.
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, or 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 or machine learning, progressed into AI engineering or technical leadership, and is currently operating as an AI architect, rather than someone whose experience is limited to traditional data architecture or analytics.
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