AI Enablement Specialist

ECEC East Consulting Engineering Company; Riyadh; On-site; SAR 240,000 - 360,000; Full time

Job summary

ECEC East Consulting Engineering Company in Riyadh seeks a proactive AI & data science specialist to lead internal AI initiatives across engineering consultancy, project management, and AEC domains.

You will prototype AI tools, map data needs, train colleagues, and ensure responsible AI use in Saudi Arabia, collaborating with business units and external partners.

Strong coding skills (Python, NextJS) and fluency in Arabic and English are required to bridge technical and executive teams.

Qualifications

• Bachelor's degree in CS/AI/DS/Engineering or related field
• Master's in AI or Data Science is an advantage
• Fresh graduates welcome; self-learning and projects valued

Responsibilities

• Monitor AI developments relevant to engineering consultancy and AEC.
• Identify tools and assess applicability to ECEC's context.
• Produce clear, jargon-free briefings for senior leadership on AI opportunities.
• Collaborate across units to map workflows and identify AI value.
• Prototype AI tools: chatbots, document automation, dashboards, and workflow automation.

Skills

AI tools experience

Python programming

NextJS

LLM APIs

Explain AI concepts

Productivity tools

Education

Bachelor's degree

Master's in AI

Tools

Excel

SQL

Power BI

Zapier

Make

Power Automate

BIM

CAD software

Azure

AWS

Job description

• Continuously monitor developments in AI relevant to engineering consultancy, project management, and AEC industries globally.
• Identify tools, frameworks, and approaches adopted by peer firms and assess their applicability to ECEC's context.
• Produce clear, jargon-free briefings and recommendations for senior leadership on AI opportunities.

2. Use Case Identification & Prioritization

• Work across ECEC's business units (Business Development, Operations, Project Management, HR, Finance) to understand workflows and identify where AI can create measurable value.
• Prioritize opportunities by impact, feasibility, and risk — distinguishing between quick wins and longer-term transformations.
• Map ECEC's current data assets and identify what data infrastructure is needed to support AI deployment.

3. Prototyping & Development

• Build working AI-powered tools and prototypes — including chatbots, document automation, data dashboards, proposal assistants, and workflow automation — using modern AI APIs, Python, and low/no-code platforms where appropriate.
• Work in an iterative, test-and-learn mode: ship fast, gather feedback, improve, or kill what doesn't work.
• Document all tools built, their logic, and how they are used — creating a growing internal knowledge base.

4. Risk, Security & Responsible AI

• Assess the data privacy, cybersecurity, and reputational risks of each AI application before deployment — particularly around client data, confidential project information, and regulatory compliance in Saudi Arabia.
• Establish and maintain an internal framework for responsible AI use at ECEC: what data can be shared with AI tools, what cannot, and under what conditions.
• Stay current on Saudi AI governance frameworks (SDAIA, PDPL) and ensure ECEC's AI activities are aligned.

5. Enablement & Change

• Train and coach colleagues on how to use AI tools effectively and safely — building internal capability over time, not dependency on a single person.
• Champion AI adoption across the company through workshops, demonstrations, and hands-on support.
• Act as the bridge between ECEC's technical needs and external AI vendors, consultants, or academic partners.

Qualifications & Requirement

Education

• Bachelor's degree (minimum) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related Engineering discipline
• .Master's degree in AI or Data Science is an advantage but not required
• .Fresh graduates are welcome to apply — demonstrated self-learning and personal projects are valued over years of experience

.Technical Skills — Essentia

• lPractical experience working with AI tools and systems — through coursework, personal projects, hackathons, internships, or independent learning
• .Ability to write code (Python & NEXTJS strongly preferred) to automate tasks, call AI APIs, or build lightweight tools
• .Familiarity with large language model (LLM) APIs such as OpenAI, Anthropic Claude, or Google Gemini and the ability to build simple applications on top of them
• .Comfortable using AI-powered productivity tools (e.g. Cursor & Claude) and explaining how they work to non-technical colleagues

.Technical Skills — Advantage

• sExposure to data analysis tools (Excel automation, SQL, Power BI, or similar)
• .Experience with automation or workflow tools (Zapier, Make, n8n, or Microsoft Power Automate)
• .Understanding of BIM, CAD software, or engineering project management platforms
• .Awareness of cloud platforms (Azure, AWS, Oracle or Google Cloud)

.Non-Technical Attributes — Critica

• lIntellectual curiosity and a drive to explore new technologies without waiting to be told what to do
• .Strong communication skills in both Arabic and English — the ability to explain AI concepts clearly to senior engineers, managers, and executives
• .A builder's mindset: comfortable with ambiguity, able to define their own objectives, and motivated by creating things that work
• .Sound judgment around risk: understanding that not every AI application is appropriate, and being transparent about what cannot or should not be done
• .Collaborative and humble — this role succeeds only through working closely with people across the business

.Domain Knowledge — Preferred but Not Require

• Familiarity with engineering, architecture, or construction project workflows
• Understanding of project management concepts (scope, schedule, cost, quality)
• Knowledge of Saudi regulatory frameworks related to data and AI (SDAIA, PDPL) is a plus