{"id":2723827,"url":"https://alion.io/job/yokogawa-electric-corporation-ai-solution-engineer","title":"AI Solution Engineer","company":{"id":44613,"name":"Yokogawa Electric Corporation","domain":"yokogawa.com","url":"https://alion.io/company/yokogawa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":68,"open_postings":325,"ghost_share":0.532,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":43,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","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":53000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Digital Twin","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-05T15:05:57Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":21},"description":"Not just a job, but a career\nYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.\nOur aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.\nAbout the Team\nOur 18,000 employees work in over 60 countries with one corporate mission, to \"co-innovate tomorrow\".We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.\nMachine Learning & Predictive Solutions\nDevelop, evaluate and deploy machine learning and predictive models for industrial asset management applications.\nApply machine learning techniques such as regression, classification, time-series analysis, anomaly detection and other relevant modelling approaches.\nDevelop predictive maintenance and equipment health monitoring solutions for early detection of equipment degradation and potential failures.\nAnalyse historical and real-time equipment, sensor and process data to identify patterns, anomalies and failure indicators.\nEvaluate model performance and continuously improve model accuracy and reliability.\nExplore the application of emerging AI technologies, including Generative AI, LLM and RAG, to enhance asset management solutions.\nAsset Management & Reliability\nApply reliability engineering knowledge to support asset performance and predictive maintenance solutions.\nAnalyse asset performance using reliability indicators such as MTBF, MTTR, equipment availability and other relevant metrics.\nApply methodologies such as Reliability Centred Maintenance (RCM), Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA/RCFA) where applicable.\nWork with asset and maintenance data to identify reliability risks and opportunities for performance improvement.\nSupport digitalisation initiatives involving Asset Operations Management (AOM), Asset Performance Management (APM), condition monitoring and predictive maintenance.\nSolution Development & Customer Engagement\nEngage with customers to understand their asset management, reliability and operational challenges.\nGather and analyse customer requirements and translate them into appropriate ML and digital solution approaches.\nConduct technical discussions, workshops and solution demonstrations with customers.\nSupport solution scoping, feasibility studies, proof-of-concept (PoC) activities and technical proposal development.\nPresent analytical findings, ML model results and solution recommendations to customers and key stakeholders.\nSupport the implementation and delivery of ML-enabled asset management solutions.\nRequirements:\nBachelor’s degree in engineering, Computer Science, Data Science or a related technical discipline.\nAt least 5 years of experience in machine learning, data analytics, reliability engineering, asset management, predictive maintenance or industrial digital solutions.\nGood understanding of machine learning, statistical analysis and predictive modelling, with proficiency in Python and relevant tools.\nExperience with industrial equipment or sensor, process and time-series data is advantageous.\nKnowledge of reliability methodologies (RCM, FMEA, RCA/RCFA, MTBF, MTTR), AOM/APM, IIoT, Digital Twin or condition monitoring is advantageous.\nExposure to Generative AI, LLMs, RAG or emerging AI technologies is an added advantage.\nStrong analytical and problem-solving skills to translate business needs into technical solutions.\nGood communication, presentation, customer engagement and cross-functional collaboration skills.\nBy responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.\nWe regret to inform that only shortlisted candidates will be notified.\nYokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. Wewill actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. Wewill not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.\nAre you being referred to one of our roles? 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