{"id":1270117,"url":"https://alion.io/job/gran-manibus-senior-software-engineer-solution-architect-ai-enabled-solutions-2","title":"Senior Software Engineer / Solution Architect, AI-enabled Solutions","company":{"id":331,"name":"Gran Manibus","domain":"granmanibus.com","url":"https://alion.io/company/gran-manibus","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Talentio","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chiyoda, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":111000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1611},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"FastAPI","optional":true},{"name":"LLM","optional":true},{"name":"LLMOps","optional":true},{"name":"Python","optional":true},{"name":"Recommender Systems","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-25T23:50:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-20T18:38:14Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"What You Will Do\nGran Manibus is a technology-led business consulting firm under SCSK and Sumitomo Corporation. We work with Sumitomo Group Companies and their customers across industries such as manufacturing and logistics. At Gran Manibus, we are trying to evolve business consulting services to be more technology driven, and will provide modern consulting experience which will deliver greater impact to our client’s business.\nGran Manibus is currently building a modern product engineering and AI solution delivery capability. Our goal is not only to advise clients, but also to design, build, and deliver practical technology solutions that create measurable business value.\nWe are looking for a Senior Software Engineer / Solution Architect who can build AI-enabled enterprise solutions in complex and ambiguous client environments. This role is ideal for someone who has strong software engineering and architecture experience, understands how to apply AI technologies pragmatically, and enjoys working directly with business and technology stakeholders.\nThis is not a pure AI research role, and it is not a pure project management role. You will be expected to define problems, design solutions, build prototypes and MVPs, guide engineering teams, and help clients adopt modern software and AI-enabled ways of working.\nAs a Senior Software Engineer / Solution Architect, you will play a key role in delivering technology solutions for clients. You will work closely with client business stakeholders, client IT teams, Gran Manibus consultants and engineers to turn ambiguous business problems into practical technology solutions.\nYour responsibilities will include:\n**1. Build AI-enabled Solutions**\nDesign and develop PoCs, MVPs, and business applications using modern software engineering practices.\nBuild backend services, APIs, data pipelines, automation workflows, and user-facing applications where needed.\nApply AI technologies such as LLMs, RAG, semantic search, document processing, workflow automation, recommendation, forecasting, or optimization to real business problems.\nAccess whether AI is the right approach, or whether simpler software, data, or process solutions would create better value.\n**2. Design Practical Architecture**\nTranslate business requirements into technical requirements, architecture options, and implementation plans.\nDesign scalable, secure, and maintainable architectures using cloud platforms such as AWS, Azure, or GCP.\nIntegrate AI-enabled features with enterprise data sources, existing systems, and business workflows.\nProvide technical guidance on API design, data integration, testing, deployment, and production readiness.\n**3. Work with Clients and Project Teams**\nWork with client business and technology stakeholders to clarify problems, requirements, and success criteria.\nCommunicate technical ideas clearly to both business users and engineering teams.\nSupport workshops, technical discussions, demos, and project planning sessions.\nTake ownership of delivery together with consultants, engineers, and client teams.\n**4. Contribute to Team Capability**\nSupport proposal development, technical estimation, demo creation, and solution explanation when needed.\nContribute to reusable solution patterns, reference architectures, and delivery accelerators.\nShare engineering knowledge with team members and help improve Gran Manibus’ AI-enabled solution delivery capability.\nWhat You Will Bring\nWe are looking for someone who combines strong software engineering, solution architecture, and client-facing communication. The ideal candidate has built real systems, not only advised on them.\n**Required Experience**\n7+ years of experience in software engineering, solution architecture, data engineering, machine learning engineering, or related technology roles.\nStrong hands-on software engineering experience, especially in backend development, API design, system integration, cloud-native development, or enterprise application development.\nExperience designing and building client-facing or business-critical technology solutions.\nStrong understanding of software architecture principles, design patterns, scalability, reliability, maintainability, and security.\nExperience with at least one public cloud platform such as AWS, Azure, or GCP.\nAbility to translate business outcomes into technical requirements, architecture, delivery plans, and working prototypes.\nExperience working with cross-functional teams, including business stakeholders, engineers, consultants, and client IT teams.\nStrong communication skills in Japanese and English.\nComfortable dealing with ambiguity and taking ownership in situations where requirements are not fully defined.\n**Preferred Experience**\nExperience delivering AI, data, automation, search, analytics, developer platform, or enterprise software projects.\nHands-on experience with LLM applications, RAG, AI agents, semantic search, document processing, recommendation systems, forecasting, optimization, or other applied AI solutions.\nExperience with AI evaluation, LLMOps, MLOps, CI/CD, observability, or production operation of AI-enabled systems.\nExperience with modern application development using Python, TypeScript, FastAPI, React, cloud-native services, containers, serverless architecture, or data platforms.\nExperience designing data pipelines, knowledge bases, enterprise search systems, or document processing workflows.\nExperience supporting pre-sales, proposal development, technical workshops, or executive-level solution discussions.\nExperience working in consulting, system integration, product engineering, or enterprise technology environments.\n**This Role May Be a Good Fit If**\nYou enjoy working at the intersection of business, software engineering, data, and AI.\nYou can talk to business leaders about value and then work with engineers to build the solution.\nYou are comfortable creating the first version of a solution even when the problem is not fully defined.\nYou prefer practical implementation over theoretical discussion.\nYou want to bring modern software and AI practices into industries that still have significant room for technology transformation.\nYou want to help build a new engineering capability, not only join an already mature product organization.\nHow This Opportunity Will Help Grow Your Career\nThis role gives you the opportunity to build AI-enabled solutions for complex real-world industries such as manufacturing, logistics, energy, agriculture, trading, and infrastructure. Many of these industries are still in the early stages of digital and AI adoption, which means the problems are ambiguous, the data is imperfect, and the solution often requires a combination of consulting, software engineering, data, AI, and change management.\nYou will not only join projects; you will help shape Gran Manibus’ modern engineering and AI solution delivery capability from the ground up. You will have opportunities to define reusable solution patterns, build client-facing assets, support business development, and influence how modern engineering practices are introduced into traditional enterprise environments.\nThis is a strong fit for someone who wants to grow from senior engineer or architect into a broader technology leader who can connect business strategy, solution architecture, AI application, and hands-on delivery.\nLocation\n18F Marunouchi Eiraku Building, 1-4-1 Marunouchi, Chiyoda-ku, Tokyo 100-0005\nand clients' places, and work from home\nEmployment Type\nFull-time/Permanent\nProbation Period\n6 months (no change in working conditions)\nInterview Process\n1. CV screening (2-4 business days)\n2. Casual interview / Japanese language check (30 mins, online)\n3. First interview (60 mins, online or in person)\n4. Second interview (60 mins, online or in person)\n5. Final interview (60 mins, online or in person)\n6. Job offering meeting (online)\n* The process is subject to change.\n* We will share details such as the salary range before moving forward to the second interview.\nWorking Hours\nFull flex (8 hours per day)\n*Follows the client's working hours while joining a client's project\nSalary Review/Bonus\nSalary Review Once a year\nBonus Once a year (based on the annual company and individual performances)\nAllowances\nFixed overtime allowance (45 hours per month, the exceeding will be paid separately)\nCommuting allowance (actual amounts)\nHolidays/Leaves\nSaturdays and Sundays\nJapanese public holidays\nNew year holidays (Dec 28-Jan 3)\nAnnual paid leave (20 days)\nFamily issues leave\nSick leave\nBenefits\nMedical checkup\nSocial Insurances\nHealth Insurance\nPension Insurance\nWorkers' Accident Compensation Insurance\nEmployment Insurance\n採用活動基本方針\nGran Manibus は、「SCSKグループコンプライアンス指針」に基づき、事業活動において人権を尊重し、人権侵害を助長しないように努めています。採用活動においてもあらゆる就職差別やハラスメント行為を禁止しています。雇用形態、年齢、性別、出身、祖先、国籍、障がい、宗教、信条、結婚の有無等を理由とした差別の禁止はもちろんのこと、パワハラやセクハラのみならず、求職者の職業選択の自由を妨げるオワハラを含む、すべてのハラスメントを許しません。\n＜具体的な取り組み＞\n求職者と社員が接点を持つ際には、ハラスメントが起こることがないよう次のルールを定めています。\n・求職者と面会するときは、できるだけ日中を選び、第三者の目がある環境で行う。\n・1 対1 での飲食は禁止とする。\n・社外説明会、インターンシップ等で懇親会を実施する場合は、希望者のみが参加できるよう配慮し、遅くとも20 時までに終了する。\n・求職者から個人的面談（OB・OG 訪問等）の依頼を受ける場合は原則としてオンラインで対応する。また、就職支援企業が運営するOB・OG 訪問マッチングサービス等を私的に利用することは禁止する。\n・上記の懇親会や個人的面談を実施する際は事前に当社HRに申請し、事後に報告する。\n＜採用活動にかかわる社員教育＞\nハラスメントを発生させないために、面接やインターンシップにかかわる社員への教育を実施しています。\n＜就活ハラスメントに関する相談窓口＞\n就職活動に際して当社社員によるハラスメント行為が見られた場合は、下記の窓口までご相談ください。相談者の秘密は厳守されます。また、こちらへの相談が当社の選考・合否結果に影響することは一切ございません。\n個別窓口（コーポレート管理部門 HR） 問い合わせページよりご相談ください。","description_format":"text","description_chars":9456,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":false}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"Japan","iso":"JP","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Design & Creative","Graphic Design","Branding"],"lifecycle":[{"event":"open","at":"2026-09-25T23:50:00Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely 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