{"id":2606895,"url":"https://alion.io/job/univers-data-knowledge-intelligence-architect-lead","title":"Data & Knowledge Intelligence – Architect Lead","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":"Data Science","role_family":"Data Science","seniority":"lead","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":{"min_usd":55000,"max_usd":124000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":662},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Digital Twin","optional":false},{"name":"GraphDB","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Master Data Management","optional":false},{"name":"MQTT","optional":false},{"name":"Neo4j","optional":false},{"name":"OPC UA","optional":false},{"name":"Physical AI","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-15T07:43:30Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T21:04:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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\nHome - Univers\nROLE OVERVIEW / THE OPPORTUNITY\nWe are seeking a visionary and hands-on Architect Lead - Data & Knowledge Intelligence to lead the technical architecture, semantic design, and AI-readiness for our enterprise Physical AI platform. In this role, you will define and execute the target-state architecture that bridges fragmented IT, OT and IoT (sensor telemetry) environments, transforming raw heterogeneous data into a unified, semantically rich operational foundation.\nYou will serve as the principal authority on Knowledge Graphs, Industrial Ontologies, Semantic Search, and Contextual AI Services. You will architect a permission-aware knowledge layer that enables advanced analytics, Retrieval-Augmented Generation (RAG), and autonomous AI Agents to reason, predict, and execute safe, governed actions back into operational physical systems.\nRESPONSIBILITIES / WHAT YOU WILL DO\nData Foundation & Knowledge Intelligence Architecture\nDefine the technical roadmap, architectural standards, and system boundaries for the Data & Knowledge Intelligence layer.\nArchitect an operational domain ontology representing real-world physical assets, sensors, spatial-temporal relationships, events, business logic, and governed operational actions.\nEstablish standards using Knowledge Graphs and semantic approaches (e.g., RDF, OWL, SHACL, or Property Graphs) where they deliver concrete enterprise value.\nBuild core capabilities for semantic mapping, master & reference data management (MDM), asset hierarchy management, schema drift handling, and temporal/geospatial entity resolution.\nArchitect scalable ingestion, streaming, and Change Data Capture (CDC) pipelines connecting enterprise IT platforms, relational databases, data lakes, and document repositories.\nLead integration strategies for industrial OT systems (SCADA, MES, Historians, BMS/EMS) and IoT protocols (OPC UA, MQTT, Modbus) across edge, hybrid, and cloud environments.\nDesign architectures resilient to intermittent network connectivity, out-of-order time-series telemetry, schema evolution, and edge-to-cloud synchronization.\nCreate a secure, permission-aware context and semantic retrieval layer that feeds vectorized, graph-backed operational context into LLMs, RAG, and AI Agent workflows.\nArchitect mechanisms for AI Agents to execute write-backs or control actions into physical operational systems, enforcing strict policy controls, human-in-the-loop approvals, auditability, idempotency, and fail-safe handling.\nEnsure end-to-end data lineage, data quality, tenant isolation, and fine-grained access control across all graph and vector knowledge stores.\nTechnical Leadership & Stakeholder Alignment\nEstablish clear API/SDK service contracts and reference architectures to ensure customer implementations strengthen the core product rather than creating fragmented one-off solutions.\nLead design reviews and align stakeholders across product engineering, infrastructure, security, and compliance teams in multiple regions.\nIdentify scalability and reliability bottlenecks; design long-term solutions for high-traffic, low-latency, globally distributed systems.\nProvide technical leadership and mentorship to engineers; raise the bar for engineering quality, documentation, and operational excellence.\nEvaluate new technologies and guide pragmatic adoption (e.g., platform frameworks, cloud patterns, distributed data systems).\nDrive cross-team execution for large initiatives: architecture roadmap, risk management, and delivery governance.\nCollaborate closely with product managers and business stakeholders to deeply understand business pain points, propose technical solutions, and drive mission-critical projects to completion.\nREQUIREMENTS / WHAT WE ARE LOOKING FOR\nProven experience designing and evolving service-oriented / microservice architectures, including high availability, fault tolerance, and performance optimization.\nStrong understanding of API architecture (REST/gRPC), authentication/authorization, rate limiting, versioning, developer experience, and platform governance.\nKnowledge Graphs & Ontology: Deep expertise in semantic modeling, ontology modeling, knowledge graph technologies (GraphDB, Neo4j, Amazon Neptune, RDF/OWL/SHACL, or Property Graphs), and digital twin representations.\nAI & Agentic Systems: Hands-on architectural experience with RAG pipelines, vector databases, LLM context provisioning, agentic tool permissioning, and AI-driven workflow execution.\nDeep knowledge of distributed systems fundamentals: consistency, concurrency, caching, messaging/streaming, and multi-region resilience.\nHands-on ability to produce high-quality technical designs and influence implementation; comfortable diving into code when needed.\nStrong analytical and problem-solving skills, with a passion for engineering excellence and setting high technical standards in security architecture.\n10+ years of experience in software design and development, with a track record of building large-scale enterprise systems.\nSolid understanding of distributed systems; hands-on experience in designing and developing platforms for traffic risk control, transaction fraud detection, or account security is highly preferred.\nAbility to thrive in a fast-paced, dynamic environment and drive projects forward with efficiency.\nExperience integrating heterogeneous enterprise systems and working with both IT data and OT/IoT data from industrial or physical environments.\nExcellent communication, with the ability to align executives, engineers, product teams, field teams and customers around difficult technical decisions.\nBachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering or a related technical field, or equivalent practical experience.\nPREFERRED QUALIFICATIONS\nExperience in energy, utilities, manufacturing, transportation, buildings, infrastructure or another asset-intensive industry.\nHands-on familiarity with industrial systems such as historians, SCADA, MES, EAM/CMMS or BMS/EMS and protocols such as OPC UA, MQTT or Modbus.\nExperience with data catalogs, semantic layers, digital twins, master data management, entity resolution or ontology tooling.\nExperience with agentic AI, RAG, model and agent governance, tool permissioning, human-in-the-loop workflows or governed write-back.\nExperience establishing developer platforms, APIs, SDKs, connector ecosystems or open-source and partner programs.\nExperience leading globally distributed teams and delivering platforms across multiple regulatory and deployment environments.","description_format":"text","description_chars":7019,"description_truncated":false,"requirements":{"experience_years_min":10,"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 Software"],"lifecycle":[{"event":"open","at":"2026-10-15T09:59:54Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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