{"id":2122350,"url":"https://alion.io/job/fujitsu-principal-data-ai-solution-architect","title":"Principal Data & AI Solution Architect","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":null,"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":68000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:04:58Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-09T21:56:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a highly motivated Principal Data & AI Solution Architect to support solution sales activities and delivery operations in Singapore. The role will work closely with sales, delivery, technology office, partners, and customers to develop innovative Data, Analytics, AI, and Generative AI solutions that address business challenges and deliver measurable outcomes.\nThe successful candidate will need to combine strong technical delivery expertise with good pre-sales consulting knowledge and communication skills to our customers.\nKey Responsibilities:\nCustomer Engagement\nEngage customers together with technology office to understand business priorities, challenges, and transformation objectives.\nFacilitate workshops, discovery sessions, and executive briefings.\nTranslate business requirements into Data & AI solution architectures and roadmaps.\nPlan, implement and deliver Data & AI business solution projects.\nSolution Design\nDesign and deliver end-to-end solutions across:\no Data Platforms\no Data Warehousing & Lakehouse\no Data Engineering\no Business Intelligence & Analytics\no Machine Learning\no Generative AI & AI Agents\no AI Applications Development\nDevelop solution architectures, reference architectures, and technical blueprints.\nEnsure solutions meet security, compliance, scalability, and governance requirements.\nPre-Sales & Delivery\nSupport account teams in opportunity qualification and pursuit strategies.\nDevelop proposals, statements of work, and response documents for RFPs/RFIs.\nDeliver solution presentations, demonstrations, and proof-of-concepts.\nCreate business cases showing ROI, value realization, and transformation outcomes.\nSupport contract negotiations and solution costing.\nLead delivery excellence in Data & AI projects to customers.\nAI & Innovation\nLead customer discussions on AI strategy and adoption roadmaps.\nDemonstrate Generative AI use cases and industry-specific solutions.\nDevelop AI transformation workshops and executive visioning sessions.\nStay current on industry trends, emerging technologies, and competitor offerings.\nPartner Ecosystem\nCollaborate with hyperscalers and technology partners such as:\no Microsoft Azure\no AWS\no Databricks\no OpenAI\no Anthropic\no NVIDIA\no Palantir\nDevelop joint go-to-market initiatives and solution offerings.\nRequired Qualifications:\nEducation\nBachelor’s degree in computer science, Data Science, Information Technology, Engineering, or related discipline.\nExperience\n8+ years of experience in Data, Analytics, AI, or Cloud Application solutions,\n3+ years in a customer-facing pre-sales, consulting, or solution architecture role,\nProven experience leading technical discussions with enterprise customers,\nExperience in implementing and delivering enterprise Data & AI solutions,\nData analytics related skills is a must (SQL, R or Python-Statistical Programming, data visualization, machine learning),\nDeep Learning Programming knowledge preferred,\nExperience in leading technical delivery team\nTechnical Expertise\nStrong knowledge in several of the following areas:\nData & Analytics\nData Lakehouse architectures\nData Warehousing\nData Engineering\nETL/ELT platforms\nMaster Data Management\nBusiness Intelligence\nArtificial Intelligence\nGenerative AI and LLMs\nAgentic AI and Framework\nVision AI\nAI Governance and Responsible AI\nCloud Platforms\nMicrosoft Azure\nData Platforms\nDatabricks\nMicrosoft Fabric\nSynapse Analytics\nAzure AI Foundry\nPower BI\n#ASEAN1_Priority","description_format":"text","description_chars":3456,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["IT Consulting & Digital Transformation","Systems Integrators","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-09T00:04:58Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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