Forward Deployed Engineer (FDE)
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026.
ABOUT UNIVERS
Univers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were designed to monitor.
Univers was built to act - not just report
Univers operates at global scale:
- 1,070 GW+ Energy assets under AI management
- 450M+ Connected sensors and devices
- 800+ Enterprise customers
- Leader Gartner Magic Quadrant Leader
ROLE OVERVIEW / THE OPPORTUNITY
As a Forward Deployed Engineer at Univers, you will work at the intersection of customers, technology, and product to help organizations adopt AI and the Univers platform successfully.
You will work closely with customers and cross-functional teams to understand business and operational workflows, create clarity from ambiguous problems, decompose complex challenges into actionable solutions, and rapidly develop demos, prototypes, pilots, and production solutions.
You will learn to effectively leverage Univers’ platform, AI models, modern development tools, data, and system integrations to deliver value quickly. You will also help identify reusable solution patterns and platform improvements that can benefit future deployments.
This role is designed for recent graduates with a Bachelor's degree or above. Prior full-time work experience is not required. Relevant internships, university projects, research, hackathons, startup experience, or other hands-on technical experience are a plus.
RESPONSIBILITIES/WHAT YOU WILL DO
- Work with customers and teams to understand business problems, operational workflows, and desired outcomes
- Clarify and decompose complex problems into practical, actionable solutions
- Rapidly build and iterate demos, prototypes, pilots, and production solutions using Univers’ platform, AI, and modern development tools
- Integrate data, APIs, systems, and applications into end-to-end solutions
- Learn and effectively leverage Univers' product and platform capabilities to maximize reuse and accelerate delivery
- Collaborate across GTM, Product, AI teams, and customer teams to deliver solutions and iterate based on feedback
- Identify reusable solution patterns and platform improvements that can scale across future deployments
REQUIREMENTS/WHAT WE ARE LOOKING FOR
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Physics, or a related technical discipline
- Strong software engineering fundamentals and programming skills
- Good understanding of AI and machine learning, including familiarity with technologies such as LLMs, multimodal models, and AI agents
- Strong analytical and structured problem-solving skills, with the ability to break complex and ambiguous problems into manageable pieces
- Ability to learn new technologies, platforms, industries, and operational domains quickly
- Comfortable working across both technical and business topics
- Strong communication and collaboration skills
- Hands-on, curious, adaptable, and comfortable working in fast-moving environments
- Strong ownership and interest in solving real customer and operational problems
PREFERRED QUALIFICATIONS
- Relevant internship experience in software engineering, AI/ML, data science, solution engineering, product, consulting, or related areas
- Experience building software applications, AI applications, agents, prototypes, or other end-to-end technical projects
- Experience with databases, data integration, cloud platforms, or modern application development
- Experience using AI-assisted development tools and coding assistants
- Experience through research projects, hackathons, startups, student organizations, or other activities demonstrating initiative and end-to-end ownership
- Experience working in multidisciplinary teams or communicating technical concepts to non-technical audiences