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Boston Consulting Group

Global strategy and transformation consulting firm

AI Engineer New Grad

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • Applicants must be enrolled in graduate school and expect to complete a master's or doctoral degree in a related field between September 2027 and August 2028; applicants expecting to complete an undergraduate degree are not eligible.
  • Applicants must have coding skills in Python, TypeScript, or similar languages.
  • Applicants must have experience developing and operating software, including web or mobile front-end or back-end systems, and experience building cloud infrastructure.
  • Applicants must have research or internship experience in a related field.
  • Applicants must have at least conversational English proficiency.
  • Applicants should be able to understand clients' business situations and develop solutions based on them.
  • Applicants should be able to apply advanced development and analytical methods to business and achieve results.
  • Applicants should be flexible, proactive, creative critical thinkers.
  • Applicants should value teamwork and conduct themselves professionally.
  • Applicants should be willing to learn current methods and tools in unfamiliar areas.
  • Applicants should be able to explain complex technical concepts clearly to non-specialists.

Responsibilities

  • Understand clients' business challenges and contribute to value creation by proposing and building solutions using digital technologies, particularly generative AI and cloud technologies.
  • Select technology stacks appropriate to project scope and client environments and constraints, including web and mobile applications, data platforms, and cloud infrastructure, and lead the development process end to end.
  • Lead the introduction of DevOps and MLOps and quality assurance to ensure development efficiency and quality.
  • Collaborate in an agile manner with project managers, data scientists, designers, consultants, and other professionals, bridging user experience, data models, business models, and technical considerations.
  • Form development teams, including contractors, and lead agile development to conduct rapid hypothesis testing and create business impact within limited timeframes.
  • Communicate with internal and external stakeholders to clearly convey and visualize technical approaches to business problems and their effects.
  • Support clients in establishing the operational structures needed to appropriately run systems and models that have been built.
  • Use knowledge of technology trends and their future potential to recommend technology choices and best practices and raise technical capabilities inside and outside the organization.

Desired Qualifications

  • Experience developing generative AI solutions.
  • Experience developing large-scale services or enterprise software-as-a-service products.
  • Experience working with relational and NoSQL databases and structured or unstructured data, including streaming data.
  • Understanding of DevOps and MLOps.
  • Experience deploying large-scale data analytics, analytical models, or workflows into production.
  • Business-level or higher English proficiency.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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