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.
Required Skills & Qualifications
- 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.
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 monitoring
- Experience with cloud platforms (AWS, Azure) for scalable AI deployment.