About Infosys :
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Infosys has been recognized as a Top Employer across APAC - contributing to our sixth consecutive year of global certification. As an AI-first organization, we empower our people to work on next-generation technologies, continuously learn, and create impact at scale-supported by a culture rooted in care, inclusion, and excellence.
▶ Join Infosys and be part of a culture that's not just promised-it's certified. #TopEmployer2026 #ThriveAtInfosys
You Role This position will primarily be responsible to interface with client and internal key stakeholders; apply technical proficiency across different stages of the data project including requirements elicitation, solutioning, data architecture and design; play an important role in creating the high level data architecture and design artifacts; outlining data management standards and governance; validating the development process; part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Your Key Responsibilities - This position will primarily be responsible to interface with client and internal key stakeholders; apply technical proficiency across different stages of the AI project including requirements elicitation, solutioning, data architecture and design; play an important role in creating the high level AI architecture and design artifacts; outlining AI standards, guardrails and governance; validating the development process; part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications - Provide thought leadership and strategic guidance to clients on AI, ML, Gen AI, Agentic AI, and Data & Analytics initiatives, helping shape their AI transformation journey
- Engage with business and technology stakeholders to understand functional, non-functional, security, compliance, and scalability requirements, and define the target state AI architecture
- Design and govern end-to-end AI solutions, including AI/ML platforms, Generative AI applications, LLM-based solutions, RAG architectures, AI agents, data platforms, and cloud native AI ecosystems
- Develop and present business aligned AI architectures and solution roadmaps, clearly demonstrating business value, ROI, scalability, and measurable outcomes for client use cases
- Lead architecture discussions and provide guidance on the selection of foundation models, AI platforms, cloud services, vector databases, orchestration frameworks, and MLOps/LLMOps practices
- Collaborate with the internal stakeholders and outline AI management standards, guidelines, governing principles, and policies aligning to the client requirements
- Pre-sales activities, proposal creation and client presentation
Required Qualifications - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
- At least 12 of experience in Information Technology
- A bilingual resource
- Japan citizens and those authorized to work in Japan are encouraged to apply. We are unable to sponsor at this time
- At least 10 years of experience in AI/ML, Data architecture and solution design
Preferred Qualifications - At least 8+ years of experience AI/ML, Agentic AI Architecture, Solution design, Data science and AI governance
- At least 5 years of experience in AI/ML and Data domain, including the design, development, deployment, and operationalization of AI-driven solutions
- Strong expertise in Generative AI, Large Language Models (LLMs), foundation models, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and AI Copilot platforms
- Experience designing and implementing scalable AI architectures, AI platforms, and MLOps/LLMOps frameworks on cloud platforms such as Azure, AWS, or GCP
- Good understanding of Responsible AI, AI governance, model lifecycle management, security, privacy, and compliance requirements in enterprise environments
- Excellent verbal and written communication skills
- Experience in software development life cycle
- Ability to work in team in diverse/ multiple stakeholder environment
- Experience and desire to work in a Global delivery environment
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
役割概要 本ポジションでは、主にクライアントおよび社内の主要ステークホルダーとの連携を担当します。 AI プロジェクトの各フェーズにおいて、要件定義、ソリューション設計、データアーキテクチャおよび設計に関する高度な技術力を発揮し、 AI アーキテクチャおよび設計成果物の策定に重要な役割を果たします。また、 AI の標準、ガードレールおよびガバナンスの策定、開発プロセスの妥当性検証を行います。さらに、チームワークと協働を重視し、卓越した成果が評価され、多様性が尊重される学習文化の一員として活躍していただきます。
主な職務内容 (Key Responsibilities) - AI 、機械学習（ ML ）、生成 AI （ GenAI ）、 Agentic AI 、データ＆アナリティクス分野において、クライアントに対する戦略的なアドバイスおよびソートリーダーシップを提供し、 AI 変革の推進を支援する。
- ビジネスおよび技術部門のステークホルダーと連携し、機能要件・非機能要件・セキュリティ・コンプライアンス・スケーラビリティ要件を把握したうえで、目標となる AI アーキテクチャを定義する。
- AI/ML プラットフォーム、生成 AI アプリケーション、 LLM ベースのソリューション、 RAG アーキテクチャ、 AI エージェント、データプラットフォーム、クラウドネイティブ AI エコシステムを含むエンドツーエンドの AI ソリューションを設計・統括する。
- ビジネス要件と整合した AI アーキテクチャやソリューションロードマップを策定・提案し、ビジネス価値、 ROI 、拡張性および定量的成果を明確に示す。
- 基盤モデル（ Foundation Models ）、 AI プラットフォーム、クラウドサービス、ベクトルデータベース、オーケストレーションフレームワーク、および MLOps/LLMOps の選定に関するアーキテクチャ議論をリードする。
- 社内ステークホルダーと協力し、顧客要件に沿った AI 管理基準、ガイドライン、ガバナンス原則およびポリシーを策定する。
- プリセールス活動、提案書作成、および顧客向けプレゼンテーションを担当する。
必須スキル (
Required Qualifications) - 認定機関の学士号、または同等の海外学位を有すること。学歴の代替として、専門分野における段階的な実務経験を考慮する場合があります。
- IT （情報技術）分野で 12 年以上の実務経験を有すること。
- 日本語および英語のバイリンガルであること。
- 日本国籍保有者または日本で就労可能なビザを有する方。現在、ビザスポンサーは行っておりません。
- AI/ML 、データアーキテクチャ、およびソリューション設計分野で 10 年以上の経験を有すること。
歓迎 スキル (Preferred Qualifications) - AI/ML 、 Agentic AI アーキテクチャ、ソリューション設計、データサイエンス、および AI ガバナンス分野で 8 年以上の経験。
- AI/ML およびデータ領域において、 AI ソリューションの設計、開発、導入、運用を含む 5 年以上の経験。
- 生成 AI 、 Large Language Models （ LLM ）、 Foundation Models 、プロンプトエンジニアリング、 Retrieval-Augmented Generation （ RAG ）、 AI エージェント、および AI Copilot プラットフォームに関する高い専門知識。
- Azure 、 AWS 、 GCP などのクラウド環境における、スケーラブルな AI アーキテクチャ、 AI プラットフォーム、および MLOps/LLMOps フレームワークの設計・実装経験。
- Responsible AI （責任ある AI ）、 AI ガバナンス、モデルライフサイクル管理、セキュリティ、プライバシーおよびコンプライアンス要件に関する十分な理解。
- 優れた口頭および文書コミュニケーション能力。
- ソフトウェア開発ライフサイクル（ SDLC ）に関する経験。
- 多様なステークホルダーが関与する環境でチームワークを発揮できる能力。
- グローバルデリバリー環境での業務経験、またはそのような環境で働く意欲。
In addition to compensation aligned with your role, you'll have access to a wide range of benefits that support your health, career growth, and overall well-being (JAPAN) - Term Life Insurance
- Referral Bonus Programs
- Year-End Tax Support
- Paid annual leave and bereavement Leave and Statutory Holidays
- Short Working Hours for employees with caregiving responsibilities.
- Statutory Social Insurance: Welfare Pension, Unemployment Insurance, Health Insurance, Nursing Care Insurance and Worker's Compensation Insurance
- Health & Wellbeing support: Annual Health Checks with partial cost reimbursement, Stress Checks & Industrial Physician support
- Employee Engagement and Wellbeing: Employee Events, Wellbeing Programs, Reward & Recognition
- Workplace Amenities: On-site amenities include complimentary beverages.
Our
recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.
Here from our recruiter on their experience working with Infosys as an Employer
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email Infy_REC_Helpdesk@infosys.com or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
"All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."
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