AI Engineer- Energy & Operational Efficiency

Discovered

Schneider Electric

SingaporeexternalData and AnalyticsPosted 5 days ago (Aug 7, 2026)

About the role

We are seeking an

AI Engineer

to drive innovation in energy efficiency and operational optimization for buildings and power systems. This role focuses on developing algorithms and deploying control logic on

EcoStruxure Building

and

EcoStruxure Power

platforms. The ideal candidate will combine strong engineering fundamentals with expertise in automation and control systems and will lead a small team of junior engineers to deliver impactful projects. What will you do? •

Algorithm Development

Design and implement AI/ML models to optimise energy consumption and operational performance in building and power systems. •

Control Logic Deployment

Integrate and deploy control strategies on EcoStruxure platforms for real-time performance improvement. •

System Integration

Collaborate with cross-functional teams to ensure seamless integration of AI solutions with existing building and power management systems. •

Team Leadership

Guide and mentor a small group of junior engineers, ensuring project milestones and quality standards are met. •

Performance Analysis

Monitor and evaluate system performance, providing insights and recommendations for continuous improvement. •

Stakeholder Engagement

Work closely with internal teams, clients, and partners to understand requirements, present solutions, and ensure successful implementation. •

Compliance & Ethics

Ensure AI solutions follow data privacy regulations, cybersecurity standards, and ethical AI practices. What qualifications will make you successful for this role?

Education

• Bachelor Degree in Computer Science, Electrical or Mechanical Engineering, Data Science, or related field.

Skills/ Systems knowledge

• 2 years of experience in AI/ML development, preferably in building automation, energy systems, or smart infrastructure. • Proficient in Python or similar programming languages for AI/ML development. • Familiarity with building systems (HVAC, lighting, access control), BMS/EMS platforms, and IoT protocols. • Experience with Docker or Kurbenetes deployment platform and edge computing. • Strong analytical, problem-solving, and communication skills. • Experience with EcoStruxure Building and Power platforms is a strong advantage.

Not published in this posting

The company didn't include benefits in the source posting. The hiring team may have more details on their own site.