# Principal AI Architect — Takamol Holding

Canonical: https://jobxdubai.com/jobs/li-4473927124-principal-ai-architect
Location: Riyadh, Saudi Arabia
Type: full_time · Level: lead
Monthly salary: AED 9,800 to 17,640 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-09-30
Apply: https://www.linkedin.com/jobs/view/principal-ai-architect-at-takamol-holding-4473927124?_l=en

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## Description

Key Responsibilities

Job Description

Technical Ownership & Delivery

• Own the AI dimension of assigned programs end to end, from requirement interpretation through architecture, build, integration, and go-live.

• Prioritize and sequence use-case roadmaps based on business value and delivery feasibility, and set realistic, achievable delivery plans.

• Act as the primary technical point of contact in stakeholder and working sessions, building and maintaining technical credibility and trust.

Solution Architecture

• Architect the data foundation (ingestion, storage, quality) required to support prioritized AI use cases.

• Select and design the AI/ML approach for each use case, for example text classification, machine translation, retrieval and similarity search, LLM-based assistants or chatbots, forecasting, and decision-support scoring, based on business value and technical feasibility.

• Design integration points into core business systems so that AI outputs are production-ready and directly usable in existing workflows.

Hands-On Engineering & Delivery

• Build priority models and pipelines directly, and direct any shared or contracted engineering support assigned to a program.

• Establish MLOps practices (versioning, CI/CD, monitoring) sized appropriately to each program's scale and delivery cadence.

• Validate delivered models against agreed success metrics and produce the evidence required for stakeholder sign-off at each milestone.

Governance, Ethics & Compliance

• Ensure AI components align with responsible-AI principles and data governance and privacy requirements, with explainability and audit logging built in by design.

• Identify and escalate technical risks, gaps, and scope trade-offs promptly to relevant stakeholders and leadership.

Stakeholder Management

• Translate business and policy needs into scoped, deliverable technical work.

• Communicate scope, timeline, and resourcing trade-offs clearly, and recommend additional resourcing where a workstream's scale calls for it.

Required Qualifications

Job Requirements

• 8 - 11 years of experience in AI/ML engineering and architecture.

• Demonstrated experience owning AI solution delivery end to end, from design through production, in a lead architect or principal engineering capacity.

• Working knowledge across a range of AI/ML technique areas, such as NLP and text classification, machine translation, retrieval or vector-based similarity search, LLM-based assistants, and forecasting.

• Practical experience designing and operating data pipelines (ETL/ELT, lakehouse-style environments) to support AI use cases.

• Strong stakeholder communication, scoping, and prioritization skills, with the ability to translate business needs into technical designs and manage delivery trade-offs.

• Experience in regulated, public-sector, or specialized-domain environments is an advantage.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degrees are a plus.

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## Requirements

8 - 11 years of experience in AI/ML engineering and architecture. Demonstrated experience owning AI solution delivery end to end, from design through production, in a lead architect or principal engineering capacity. Working knowledge across a range of AI/ML technique areas, such as NLP and text classification, machine translation, retrieval or vector-based similarity search, LLM-based assistants, and forecasting. Practical experience designing and operating data pipelines (ETL/ELT, lakehouse-style environments) to support AI use cases. Strong stakeholder communication, scoping, and prioritization skills, with the ability to translate business needs into technical designs and manage delivery trade-offs. Experience in regulated, public-sector, or specialized-domain environments is an advantage. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degrees are a plus.

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