Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Consultant - AI Engineering role.
Rezi rewrites your resume against Infosys's job description. Free.

Tailor your resume to this Senior Consultant - AI Engineering role.
Rezi rewrites your resume against Infosys's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Consultant - AI Engineering posting at Infosys — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Consultant - AI Engineering posting at Infosys — free, in seconds.
About the Role
This position will primarily be responsible to interface with key stakeholders; apply technical proficiency across different stages of the data project including requirements elicitation, data architecture definition and Design; play an important role in creating the design artifacts in data; to deliver high quality code deliverables, lead validation for all types of testing and support activities related to implementation, transition and warranty; part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Responsibilities
- Participation in the estimation, planning, and sizing of AI/ML, Agentic AI and Generative AI workstreams, providing accurate inputs to project managers for project planning and execution
- Analyze and understand functional and non-functional requirements in collaboration with business analysts, architects, and stakeholders, and translate them into scalable AI and system requirements
- Design, develop, and implement AI/ML and Generative AI solutions, ensuring alignment with enterprise architecture, security, and governance standards
- Create and maintain solution design documents, technical specifications, architecture diagrams, and implementation artifacts for AI-driven applications and platforms
- Build and manage data pipelines and AI-ready data infrastructure, including data ingestion, transformation, feature engineering, vectorization, and data preparation for AI model consumption
- Develop and review artifacts (Code, Mapping, Documentation, Monitoring scripts and Unit test scripts) conduct reviews for self and peers, conduct unit test and document unit test results for complex data programs in order to build the application and make it ready for validation/deliver
- Work with cross functional teams in a dynamic environment.
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 8 years of experience in Information Technology.
- Japan citizens and those authorized to work in Japan are encouraged to apply. We are unable to sponsor at this time.
- At least 4 years of experience in AI/ Gen AI, ML/DL, Data visualization.
Skills
- AI/ML engineering
- Data engineering
- Cloud-native solution development on AWS, Azure, or GCP
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Vector databases
- AI orchestration frameworks
- Python
- Machine learning frameworks
- APIs
- MLOps/LLMOps practices
- Data governance
- AI governance
- Security
- Responsible AI principles for enterprise environments
- Excellent verbal and written communication skills
- Software development life cycle
- Ability to work in team in diverse/ multiple stakeholder environment
- Experience and desire to work in a Global delivery environment.
Location
- Japan
Work Type
- Full-time
Experience Level
- 8+ years of experience in Information Technology
- 4+ years of experience in AI/ Gen AI, ML/DL, Data visualization
- 4+ years of experience in AI/ML engineering, data engineering, and cloud-native solution development on AWS, Azure, or GCP
Education Level
- 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.
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.
- 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.
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.