{"id":2590597,"url":"https://alion.io/job/univers-forward-deployed-engineer-fde","title":"Forward Deployed Engineer (FDE)","company":{"id":175386,"name":"Univers","domain":"univers.com","url":"https://alion.io/company/univers-3","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-15T05:30:26Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T03:19:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"ABOUT UNIVERS\nUnivers 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.\nUnivers was built to act - not just report\nUnivers operates at global scale:\n1,070 GW+ Energy assets under AI management\n450M+ Connected sensors and devices\n800+ Enterprise customers\nLeader Gartner Magic Quadrant Leader\nROLE OVERVIEW / THE OPPORTUNITY\nAs 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.\nYou 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.\nYou 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.\nThis 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.\nRESPONSIBILITIES/WHAT YOU WILL DO\nWork with customers and teams to understand business problems, operational workflows, and desired outcomes\nClarify and decompose complex problems into practical, actionable solutions\nRapidly build and iterate demos, prototypes, pilots, and production solutions using Univers’ platform, AI, and modern development tools\nIntegrate data, APIs, systems, and applications into end-to-end solutions\nLearn and effectively leverage Univers' product and platform capabilities to maximize reuse and accelerate delivery\nCollaborate across GTM, Product, AI teams, and customer teams to deliver solutions and iterate based on feedback\nIdentify reusable solution patterns and platform improvements that can scale across future deployments\nREQUIREMENTS/WHAT WE ARE LOOKING FOR\nBachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Physics, or a related technical discipline\nStrong software engineering fundamentals and programming skills\nGood understanding of AI and machine learning, including familiarity with technologies such as LLMs, multimodal models, and AI agents\nStrong analytical and structured problem-solving skills, with the ability to break complex and ambiguous problems into manageable pieces\nAbility to learn new technologies, platforms, industries, and operational domains quickly\nComfortable working across both technical and business topics\nStrong communication and collaboration skills\nHands-on, curious, adaptable, and comfortable working in fast-moving environments\nStrong ownership and interest in solving real customer and operational problems \nPREFERRED QUALIFICATIONS\nRelevant internship experience in software engineering, AI/ML, data science, solution engineering, product, consulting, or related areas\nExperience building software applications, AI applications, agents, prototypes, or other end-to-end technical projects\nExperience with databases, data integration, cloud platforms, or modern application development\nExperience using AI-assisted development tools and coding assistants\nExperience through research projects, hackathons, startups, student organizations, or other activities demonstrating initiative and end-to-end ownership\nExperience working in multidisciplinary teams or communicating technical concepts to non-technical audiences","description_format":"text","description_chars":3844,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["ESG & Carbon Accounting 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