AI Enablement Specialist

Key Responsibilities1. AI Research & Landscape MappingContinuously 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 & PrioritizationWork 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 & DevelopmentBuild 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 AIAssess 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 & ChangeTrain 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 & RequirementEducationBachelor'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 — EssentialPractical 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 — AdvantagesExposure 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 — CriticalIntellectual 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 RequireFamiliarity with engineering, architecture, or construction project workflowsUnderstanding of project management concepts (scope, schedule, cost, quality)Knowledge of Saudi regulatory frameworks related to data and AI (SDAIA, PDPL) is a plus.