Enterprise AI Architect for GenAI & ML Solutions

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 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.