DataRobot, Inc. logo

Senior AI Solutions Engineer

Job Overview

Location

Remote Japan

Job Type

Full-time

Category

Data Science

Date Posted

June 6, 2026

Full Job Description

đź“‹ Description

  • • Partner with sales teams to translate business needs and strategic priorities into technical solutions using DataRobot’s Agentic AI, Predictive, and Generative AI platforms.
  • • Deliver outcome-driven demonstrations to prospects and customers, tailoring technical messaging for C-suite executives (CIO, CTO, CDO), program leads, and technical practitioners.
  • • Design and build MVP agentic AI applications within days to showcase transformation of real business processes and accelerate sales cycles.
  • • Lead end-to-end Proof of Value (POV) engagements, including execution, outcome measurement, and translation of results into compelling business cases.
  • • Define technical requirements for enterprise deployments, ensuring alignment with security mandates, data governance, model transparency, and responsible AI practices.
  • • Advise on deployment models and data readiness to enable quick time-to-value across diverse APAC enterprise environments.
  • • Support conversations around AI compliance, regulatory standards, and enterprise integration requirements including on-premise, cloud (AWS, Azure, GCP), and data warehouse systems (Snowflake, Databricks).
  • • Collaborate with Product, Marketing, and Enablement teams to provide structured feedback on customer needs, procurement hurdles, and technical blockers to inform product evolution.
  • • Act as a trusted technical advisor to Regional Directors and Account Executives, equipping sales teams with assets and knowledge to advance AI adoption.
  • • Engage with customers across Japan and the APAC region, conducting workshops, industry events, and on-site meetings up to 25% of the time.
  • • Maintain deep familiarity with modern LLM frameworks and orchestration patterns including LangChain, LlamaIndex, OpenAI Agents SDK, and MCP.
  • • Navigate complex enterprise data infrastructures, including NVIDIA environments, API integrations, and system interoperability patterns.
  • • Communicate complex AI concepts clearly and persuasively in both executive-level briefings and deep-dive technical sessions with data scientists and architects.
  • • Operate effectively in a fast-paced environment with evolving product offerings, shifting priorities, and high customer expectations.

🎯 Requirements

  • • 6+ years of experience in customer-facing data science, pre-sales engineering, or technical consulting within software/SaaS
  • • Hands-on experience building and deploying agentic AI applications using LangChain, LlamaIndex, OpenAI Agents SDK, MCP, or equivalent frameworks
  • • Demonstrated success supporting AI/ML or advanced analytics sales pursuits with solution design and Proof of Value execution
  • • Bachelor’s degree in a technical, analytical, or business-related field (or equivalent experience); advanced degree preferred
  • • Ability to travel up to 25% for customer meetings, workshops, and industry events
  • • Strong communication and demo skills with proven ability to present to both executives and technical teams

🏖️ Benefits

  • • Medical, Dental & Vision Insurance
  • • Flexible Time Off Program
  • • Paid Holidays
  • • Paid Parental Leave
  • • Global Employee Assistance Program (EAP)

Skills & Technologies

AWS
Azure
GCP
Senior
Remote
Degree Required

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DataRobot, Inc. logo
DataRobot, Inc.
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About DataRobot, Inc.

DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.

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