RAM Specialist: Asset Reliability Engineer

AECOM Middle East Ltd; Al Ruways Industrial City; On-site; AED 223,000 - 335,000; Full time

Job summary

AECOM is seeking a RAM Specialist in Abu Dhabi to deliver quantitative RAM insights for critical assets. The role focuses on reliability, availability, and maintainability studies, modeling, and lifecycle considerations to guide design and maintenance decisions.

You will build RBDs, perform FTA, and apply Weibull statistics while collaborating with multi-disciplinary teams to optimize asset performance and maintenance strategies within an infrastructure context.

Qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering or another relevant technical discipline.
• Demonstrated experience performing quantitative reliability modeling and statistical analysis.
• Strong working knowledge of FMEA, FMECA, FTA, RBD, Weibull analysis and reliability statistics.

Responsibilities

• Conduct comprehensive Reliability, Availability and Maintainability studies for infrastructure systems, equipment, and operational assets.
• Develop quantitative reliability models to evaluate system performance against defined availability and lifecycle targets.
• Build and maintain Reliability Block Diagrams to represent system configurations, dependencies, redundancy, and failure behavior.
• Perform Fault Tree Analysis to identify combinations of failures that could affect system functionality or operational performance.
• Support Failure Modes and Effects Analysis and Failure Modes, Effects and Criticality Analysis workshops and technical assessments.
• Apply statistical methods to equipment failure data and identify recurring trends, degradation patterns, and reliability concerns.
• Perform reliability simulations and sensitivity assessments to evaluate alternative system configurations and operating scenarios.
• Use Weibull analysis and other reliability statistics to evaluate failure characteristics and asset behavior.
• Translate RAM findings into practical recommendations for engineering design and system optimization.
• Provide technical input into Reliability Centered Maintenance strategies and preventive and predictive maintenance programs.
• Evaluate maintenance requirements with consideration for accessibility, repair duration, system criticality, and operational impact.
• Support spare parts optimization using reliability information, failure frequencies, and maintenance demand assumptions.
• Contribute to lifecycle cost analysis by assessing the relationship between reliability, maintenance, downtime, and long‑term asset expenditure.
• Develop asset performance forecasts to support engineering, operations, and maintenance decision‑making.
• Work with multidisciplinary engineering teams to improve system resilience, maintainability, and operational efficiency.
• Review reliability assumptions, source data, calculations, and model outputs for technical consistency.
• Prepare structured RAM reports, technical studies, calculations, and presentations for project stakeholders.
• Communicate complex reliability findings in a form that supports practical engineering and asset management decisions.
• Apply relevant industry standards, reliability methodologies and accepted engineering practices throughout assigned studies.
• Maintain traceable analytical records covering assumptions, input data, model configurations, calculations and conclusions.

Skills

RAM analysis

Weibull analysis

FMEA

FMECA

Fault Tree Analysis

RBD

Reliability statistics

Reliability modeling

Predictive maintenance

Maintenance strategy development

Education

Bachelor’s degree in Mechanical, Electrical or Industrial Engineering

Tools

Isograph

ReliaSoft

Job description

AECOM is seeking a RAM Specialist in Abu Dhabi to deliver quantitative RAM insights for critical assets. The role focuses on reliability, availability, and maintainability studies, modeling, and lifecycle considerations to guide design and maintenance decisions.

You will build RBDs, perform FTA, and apply Weibull statistics while collaborating with multi-disciplinary teams to optimize asset performance and maintenance strategies within an infrastructure context.