AI Engineer PMC Project Management Workflow Optimisation

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 & Optimisation
• Analyse existing project management processes to identify inefficiencies and automation opportunities.
• Develop AI-powered tools for scheduling, resource allocation, and risk prediction.
• AI Model Development
• Design, 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 review
• Integration & Implementation
• Integrate AI systems with existing platforms ensuring seamless data flow.
• Develop APIs and automation scripts for interoperability across project management tools.
• Data Management & Analysis
• Collect, clean, and analyse large datasets from project operations.
• Build dashboards for real-time insights into project health, KPIs, and resource utilisation.
• Collaboration & Training
• Work 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.
  

• Technical Expertise
• Strong 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 Knowledge
• Understanding of project management principles and EPC workflows.
• Familiarity with Oil & Gas industry standards and compliance requirements.
• Soft Skills
• Excellent problem-solving and analytical skills.
• Strong communication and stakeholder management abilities.
  

• 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.
  
  

• 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 monitoring
• Experience with cloud platforms (AWS, Azure) for scalable AI deployment.