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About the 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.

Responsibilities

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.
Create high level AI architecture and design artifacts.
Outline AI standards, guardrails and governance.
Validate the development process.
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 internal stakeholders and outline AI management standards, guidelines, governing principles, and policies aligning to the client requirements.
Engage in pre-sales activities, proposal creation and client presentation.

Requirements

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 years 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.
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.

Skills

AI
ML
Gen AI
Agentic AI
Data & Analytics
Data Architecture
Solution Design
Generative AI
Large Language Models (LLMs)
Foundation Models
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents
AI Copilot Platforms
MLOps
LLMOps
Azure
AWS
GCP
Responsible AI
AI Governance
Model Lifecycle Management
Security
Privacy
Compliance
Software Development Life Cycle (SDLC)

Location

Japan

Work Type

Onsite
Full-time

Experience Level

12 years of experience in Information Technology
10 years of experience in AI/ML, Data architecture and solution design
8+ years of experience AI/ML, Agentic AI Architecture, Solution design, Data science and AI governance
5 years of experience in AI/ML and Data domain

Education Level

Bachelor’s degree or foreign equivalent
Consideration for progressive experience in lieu of education

Benefits

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.

About the Company

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.
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.

Equal Opportunity

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.