AI Engineer (PMC) – Project Management Workflow Optimisation

Title: AI Engineer (PMC) Project Management Workflow OptimisationJob PurposeThe 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 ResponsibilitiesWorkflow 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 & QualificationsTechnical 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 RequirementsMinimum 35 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 CompetenciesStrong 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.#J-18808-Ljbffr