
AI Product & Delivery Lead
Primary stack
Nice to have's
Job description
About the Position
AI Product & Delivery Lead
Associate Management · Hybrid · Japan
About the Role
We are seeking a client-facing AI Product & Delivery Lead to help enterprise clients in Japan turn generative AI opportunities into scalable products. Sitting at the intersection of AI strategy, product management, and technical delivery, you will lead discovery workshops, shape product roadmaps, and personally validate ideas through rapid prototyping. You are not just presenting trends; you partner closely with client executives and global engineering teams to move initiatives from initial proof-of-concept into secure, production-grade deployments.
Responsibilities
- Product Strategy & Roadmap: Own the product vision, MVP scoping, roadmap planning, and success metrics for client AI initiatives.
- Discovery & Workshops: Lead client discovery sessions, executive workshops, and stakeholder interviews to identify and prioritize AI use cases based on business value, feasibility, and risk.
- Hands-on Prototyping: Personally build rapid prototypes and evaluate generative AI solutions utilizing model APIs, low-code tools, and agent orchestration frameworks.
- Production Delivery: Partner with architects and engineering teams to guide AI solutions through security reviews, cloud integration, production launch, and user adoption.
- Global Collaboration: Act as the strategic bridge between local Japanese enterprise stakeholders and regional/global product and engineering teams.
- Commercial Support: Contribute technical and product insights to pre-sales materials, proposals, and project estimation.
Requirements
- AI Solution Consulting: Strong background in digital transformation and strategic consulting, with the ability to shape digital strategy and identify AI opportunities aligned with business goals.
- Hands-on Experimentation: Practical experience prototyping generative AI applications using model APIs and AI platforms.
- Agentic AI Knowledge: Solid understanding of agentic AI concepts, including orchestration, tool use, context, memory, evaluation, and human oversight.
- Stakeholder & Delivery Management: Strong communication and project management skills, with the ability to facilitate workshops, align stakeholders, and drive initiatives through to delivery.
- Language Proficiency: Native-level or equivalent Japanese communication skills (JLPT N1), and business-level English.
Nice to Have
- Experience with AI evaluation, guardrails, observability, or enterprise AI governance.
- Experience working with globally distributed or international engineering teams.
- Academic or professional experience outside of Japan.
We Offer
By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023, and one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023. Your voice matters. At EPAM, employee ideas are the driving force behind our business. You'll be part of a supportive workplace where everyone is respected and included.
Through extensive opportunities for internal training and self-development, including workshops, online courses, and mentoring programs, you'll learn, contribute, and grow with us. You'll be challenged while working side-by-side with some of the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
About the Company
EPAM is a leading global software development and digital platform engineering company. We partner with the world's most innovative companies to deliver technology solutions that drive business transformation and growth.
© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.
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