Forward Deployed Engineer (Project Management) Intern

About Univers

Univers is an AI company building the world’s most comprehensive platform for energy intelligence and decarbonization. We combine AI, IoT, and data analytics to help companies and countries optimize energy systems, reduce carbon emissions, and operate smarter buildings and infrastructure. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology with cloudbased AI intelligence to deliver real-time energy data, predictive insights, and automated control across the built environment. With 365 million sensors and smart devices connected, 845GW of renewable energy under management, and a community of over 500 customers, we're helping the world's leading businesses get the world to net zero—and what comes after it. For more information, please visit https://univers.com/

Role Overview:

The Forward Deployed Engineer Intern will be embedded within our project delivery team, working onsite to support the deployment and configuration of Univers’ smart building and energy management platform. The intern will apply AI tools and analytical thinking to accelerate delivery, troubleshoot integration issues in real time, and help end-users get value from the system.

Job Description:

• On-Site Platform Deployment Support

o Support deployment and configuration of the EnOS smart building platform at project sites, including IoT device onboarding and connectivity checks

• AI-Assisted Analysis & Troubleshooting

o Apply AI tools to analyse platform data, identify anomalies, and accelerate resolution of technical issues on-site

• Testing & Delivery Coordination

o Participate in system integration testing and user acceptance testing (UAT); log issues and coordinate with the engineering team for resolution

• Documentation

o Maintain deployment records, configuration notes, and handover documentation for each site

Required Skills:

• Undergraduate degree in Computer Science, Engineering, IT, or a related field

• Genuine interest in AI and hands-on experience using AI tools (e.g. LLMs, AI-assisted coding, prompt engineering) in real projects or coursework

• Good analytical and problem-solving skills; able to think clearly under pressure

• Good communication skills; comfortable working directly with both technical teammates and non-technical users

• Able to work in a fast-paced, on-site environment; proactive and willing to get things done