Senior AI Architect: End-to-End ML Solutions

تكامل القابضة; Riyadh; Vor Ort; SAR 350.000 - 550.000; Vollzeit

Zusammenfassung

تكامل القابضة in Riyadh is seeking a Senior AI/ML Architect to own AI programs end to end, from requirements interpretation through architecture, build, integration, and go-live. You will prioritize use-case roadmaps based on business value and delivery feasibility, and act as the primary technical contact in stakeholder sessions.

You will architect the data foundation, select AI/ML approaches for each use case, design production-ready integrations with core systems, and lead hands-on

Qualifikationen

• 8–11 years of experience in AI/ML engineering and architecture.
• Experience owning AI delivery end to end in a lead architect capacity.
• Knowledge across NLP, MT, retrieval, LLM assistants, and forecasting.
• Experience designing ETL/ELT and lakehouse data pipelines.

Aufgaben

• Own AI dimension end to end from requirements to go-live.
• Prioritize AI use-case roadmaps based on business value.
• Act as technical lead in stakeholder sessions.
• Architect data foundation to support AI use cases.
• Design production-ready integrations with core business systems.
• Lead hands-on development and establish MLOps practices.
• Ensure governance and compliance with responsible-AI principles.

Kenntnisse

AI/ML engineering

Architecture leadership

Data pipelines design

NLP & text classification

Machine translation

Vector similarity search

LLM-based assistants

MLOps practices

Stakeholder communication

Forecasting

Regulated environments experience

Ausbildung

Bachelor's degree in Computer Science / Engineering / Data Science

Jobbeschreibung

تكامل القابضة in Riyadh is seeking a Senior AI/ML Architect to own AI programs end to end, from requirements interpretation through architecture, build, integration, and go-live. You will prioritize use-case roadmaps based on business value and delivery feasibility, and act as the primary technical contact in stakeholder sessions.

You will architect the data foundation, select AI/ML approaches for each use case, design production-ready integrations with core systems, and lead hands-on