Applied AI Specialist (AI Engineering)

TL;DR

Applied AI Specialist (AI Engineering): Identifying, validating, and accelerating high-impact private AI use cases for large enterprises with an accent on technical discovery, feasibility assessment, and production readiness. Focus on designing technical blueprints, executing AI workshops with partners like NVIDIA, and bridging the gap between conceptual AI and scalable production deployment.

Location: Tokyo, Japan (Flexible WFH Policy)

Company

A leading data partner for large enterprises, empowering them to transform complex data into actionable insights through open source innovation.

What you will do

• Lead technical AI discovery workshops in partnership with NVIDIA to identify and prioritize private AI opportunities.
• Conduct deep technical and business discovery to scope AI workloads that deliver measurable business outcomes.
• Evaluate enterprise AI readiness, focusing on data architecture, governance, security, and infrastructure constraints.
• Develop lightweight PoCs, reference architectures, and technical demonstrations to validate feasibility.
• Translate qualified opportunities into detailed technical requirements and architectural blueprints for engineering teams.
• Document and scale best practices and architectural patterns across different industries and regions.

Requirements

• Strong technical foundation in data science with proficiency in Python, APIs, and MLOps.
• Hands-on experience building AI applications across ML, Deep Learning, Computer Vision, and Generative AI.
• Proven track record in technical pre-sales, solution architecture, or consulting for complex enterprise initiatives.
• Ability to evaluate data quality, governance, and operational readiness for AI deployments.
• Exceptional executive communication skills to connect business outcomes with implementation strategies.
• Must be based in or be able to work from Tokyo, Japan.

Nice to have

• Experience with NVIDIA AI Enterprise, NIMs, NeMo, or RAPIDs.
• Track record of moving AI projects from PoC to production environments.
• Familiarity with hybrid cloud architectures and enterprise data governance frameworks.

Culture & Benefits

• Flexible WFH policy and dedicated "Unplugged Days" for work-life balance.
• Comprehensive benefits package including mental and physical wellness programs.
• Generous PTO policy and paid volunteer time.
• Phone and internet reimbursement programs.
• Access to continued career development and employee resource groups.