Senior AI Architect

Accellor; United Arab Emirates; On-site; AED 240,000 - 480,000; Full time

Job summary

ACCELLOR is seeking a Senior AI Architect with deep experience in Data Science, ML and AI engineering to lead enterprise AI initiatives. You will design end-to-end AI solutions, guide delivery teams, and engage in client discussions, presales and technical demos.

The role requires hands-on Python and Azure expertise, strong stakeholder communication, and the ability to move projects from concept to production while ensuring scalability, security and responsible AI.

Qualifications

• 12+ years in technology/data with AI focus.
• 2–3+ years in AI architecture / solution architecture.
• Experience with enterprise GenAI and LLM implementations.
• Strong client-facing and presentation skills.

Responsibilities

• Design end-to-end AI, Generative AI and ML solution architectures.
• Translate client requirements into scalable AI architectures.
• Define AI architecture patterns, tech choices, integration approaches and deployment models.
• Architect AI solutions leveraging Python and Azure.
• Work across AI/ML models, data platforms, cloud services and apps.
• Provide technical leadership to data scientists, ML engineers, AI engineers and developers.
• Design scalable production architectures for model development, deployment, monitoring and governance.
• Support GenAI, LLM and enterprise AI use cases.
• Lead presales activities including solution design and technical proposals.
• Conduct client demonstrations, workshops, and proof-of-concept discussions.
• Collaborate with delivery/product teams to move AI from concept/POC into production.
• Ensure AI solutions meet enterprise requirements for scalability, security, performance and responsible AI.

Skills

Python

Azure

AI Architecture

Client-facing

Tools

Azure AI Services

Azure Machine Learning

GenAI / LLMs

Job description

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.
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.