Title:

AI Engineer (PMC) – Project Management Workflow Optimisation

Job Purpose

The AI Engineer will design, develop, and implement AI-driven solutions to optimise project management workflows, enhance operational efficiency, and support strategic decision-making. This role involves leveraging machine learning, automation, and predictive analytics to streamline processes across planning, execution, and monitoring phases of projects.

Key Responsibilities

Workflow Automation & OptimisationAnalyse existing project management processes to identify inefficiencies and automation opportunities.Develop AI-powered tools for scheduling, resource allocation, and risk prediction.AI Model DevelopmentDesign, train, and deploy machine learning models for predictive analytics (e.g., cost forecasting, delay risk assessment).Implement Generative AI solutions for document summarisation, reporting, and stakeholder communication.Implement Generative AI solutions for document reviewIntegration & ImplementationIntegrate AI systems with existing platforms ensuring seamless data flow.Develop APIs and automation scripts for interoperability across project management tools.Data Management & AnalysisCollect, clean, and analyse large datasets from project operations.Build dashboards for real-time insights into project health, KPIs, and resource utilisation.Collaboration & TrainingWork closely with project engineers, planners, and IT teams to align AI solutions with business needs.Conduct workshops and training sessions on AI tools for project teams.

Required Skills & Qualifications

Technical ExpertiseStrong programming skills (Python, R, or similar).Experience with AI/ML frameworks (TensorFlow, PyTorch) and LLMs (GPT, LangChain).Knowledge of MLOps tools (MLflow, Docker) for model lifecycle management.Domain KnowledgeUnderstanding of project management principles and EPC workflows.Familiarity with Oil & Gas industry standards and compliance requirements.Soft SkillsExcellent problem-solving and analytical skills.Strong communication and stakeholder management abilities.

Experience Requirements

Minimum 3–5 years in AI engineering or data science roles, preferably in industrial or project environments.Proven track record of deploying AI solutions that improved operational efficiency.

Desirable Competencies

Strong understanding of project management methodologies (e.g., Agile, PMI, EPC workflows).Experience in AI-driven project scheduling and resource optimisation.Ability to design risk prediction models for cost overruns and delays.Familiarity with workflow automation tools and integration with project management platforms (MS Project, Primavera, SAP PM).Knowledge of data-driven decision-making and KPI dashboards for project performance monitoringExperience with cloud platforms (AWS, Azure) for scalable AI deployment.