AI Engineer- Asset Management

Summary

We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies—including LLMs (Large Language Models) and SLMs (Small Language Models)—to real-world industrial challenges.

Principle Responsibilities and Duties

• Design, develop, and deploy AI applications to support:
• Predictive and preventive maintenance
• Asset life extension strategies
• Operational cost reduction
• Equipment safety and reliability
• Leverage LLMs/SLMs for intelligent automation and decision support
• Collaborate with cross-functional teams to identify AI opportunities
• Work within Azure cloud environments and integrate with Microsoft Copilot tools
• Ensure all work complies with company policies, procedures, and confidentiality standards
• Provide structured, timely updates and reports on project progress
• Explore and evaluate emerging AI technologies and methodologies
• Demonstrate flexibility in adapting to evolving project needs and priorities
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field
• Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments
• Proficiency in programming languages such as Python, R, or similar
• Experience working with Azure cloud services and AI tools
• Familiarity with Microsoft Copilot and its integration into enterprise workflows
• Strong communication skills in English (written and verbal)
• Ability to work independently while maintaining alignment with team goals
• Willingness to travel internationally as required
• Adherence to strict confidentiality and data protection standards
• Structured reporting and documentation practices
• Collaborative and proactive mindset
• Commitment to continuous learning and innovation
• Preferred Skills:
• Experience with asset management systems or industrial operations in gas compression and gas processing industry
• Knowledge of maintenance management frameworks (e.g., RCM, CBM)
• Understanding of data governance, security, and compliance in AI applications
• Ability to translate business needs into technical solutions
  
  

Physical Requirements

• Remote work flexibility with a base in Abu Dhabi
  
  

About Us:

Transforming Energy for a Sustainable Future. Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.

Enerflex places its core Values of Integrity, Commitment, Creativity, and Success into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.

We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.

Enerflex is an Equal Opportunity Employer

Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.

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