Junior AI Engineer - GenAI, LLM & Agentic AI | Tokyo

Join a leading global AI and data consulting organisation as a Junior AI Engineer in Tokyo, working on advanced artificial intelligence solutions for pharmaceutical and life sciences companies across Japan.

This permanent opportunity focuses on Generative AI (GenAI), Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python development and enterprise AI engineering, offering the chance to build production-ready applications using modern AI technologies.

You will contribute to the design, development and deployment of enterprise-grade GenAI and Agentic AI solutions, working closely with AI engineers, data engineers, consultants and pharmaceutical clients to translate complex business requirements into scalable technical applications.

A central responsibility will be developing LLM-powered applications, RAG pipelines, intelligent AI assistants and automated workflows, enabling enterprise customers to access information, streamline operations and apply artificial intelligence to practical business challenges.

You will also build Agentic AI and multi-agent systems using frameworks such as LangGraph, AutoGen and AWS Agents for Bedrock, implementing capabilities including tool use, orchestration, memory and planning.

The role involves working with both structured and unstructured enterprise data, including CRM information, sales data, clinical datasets, documents, PDFs, emails and other business information sources.

Using Microsoft Copilot Studio and Microsoft Power Platform, you will develop enterprise AI assistants, custom connectors and workflow integrations, including solutions deployed through Microsoft Teams.

You will support enterprise implementations of ChatGPT, OpenAI technologies and AWS Bedrock, helping organisations develop secure, reliable AI applications with appropriate data retrieval, foundation model access and operational controls.

Working across the modern AI and data technology stack, you will gain exposure to Databricks, Delta Lake, MLflow, Unity Catalog, Informatica IDMC and vector databases, supporting data integration, governance and production AI workflows.

You will participate in client requirements workshops, technical discussions, solution demonstrations and delivery reviews conducted in Japanese, while collaborating with international engineering and consulting teams in English.

This opportunity is particularly well suited to engineers with experience in AI/ML engineering, data engineering, applied AI, Python, LLM application development or enterprise GenAI deployment who want to build expertise in pharmaceutical and life sciences technology.

Key Responsibilities

• Design, develop and deploy Generative AI solutions for enterprise pharmaceutical and life sciences customers.
• Build Retrieval-Augmented Generation (RAG) pipelines that connect LLM applications with relevant enterprise knowledge and data sources.
• Develop LLM-powered workflows, enterprise AI assistants and intelligent applications to address business and operational requirements.
• Design and implement Agentic AI and multi-agent systems using frameworks such as LangGraph, AutoGen and AWS Agents for Bedrock.
• Implement agent capabilities involving tool use, orchestration, memory and planning.
• Work with structured and unstructured data, including CRM, sales, clinical, document, PDF, email and other enterprise datasets.
• Develop solutions using Microsoft Copilot Studio, including custom connectors and enterprise AI assistant functionality.
• Build integrations and automated workflows using Microsoft Power Platform, including deployment through Microsoft Teams.
• Support enterprise adoption and deployment of ChatGPT, OpenAI APIs and related AI technologies.
• Develop AI applications using Amazon Bedrock, including foundation model APIs, Knowledge Bases, RAG, Agents and Guardrails.
• Support data ingestion, retrieval, integration and governance workflows required for enterprise AI applications.
• Collaborate with AI engineers, data engineers, consultants and business stakeholders to translate client requirements into technical solutions.
• Participate in Japanese-language client workshops, solution demonstrations, technical discussions and project delivery reviews.
• Work with cross-functional and international technology teams to deliver scalable, secure and production-ready AI solutions.
• Contribute to the development of reliable enterprise AI architectures and reusable engineering approaches across client environments.

Required Skills and Qualifications

Experience:

• 3-4 years of professional experience in AI/ML engineering, data engineering or applied artificial intelligence.
• At least 1 year of hands-on experience with production Generative AI or LLM-based systems.
• Practical experience with Microsoft Copilot Studio, OpenAI API / ChatGPT Enterprise or AWS Bedrock.
• Proven experience developing Agentic AI or multi-agent systems, including tool use, orchestration, memory and planning.
• Strong knowledge of Databricks, Delta Lake, MLflow, Unity Catalog and medallion architecture.
• Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC), including areas such as Cloud Data Integration (CDI), Cloud Application Integration (CAI), data quality, Master Data Management (MDM) or data lineage.
• Strong Python programming and software development skills.
• Understanding of LLM application development, RAG architectures and enterprise AI integration.
• Ability to work with structured and unstructured enterprise datasets in AI and data engineering workflows.
• Experience contributing to the delivery of scalable, secure and production-ready technical solutions.

Soft Skills:

• Strong analytical thinking and problem-solving abilities when addressing complex AI engineering challenges.
• Excellent communication skills when discussing technical solutions with engineers, consultants and business stakeholders.
• Effective stakeholder management skills when working with enterprise customers and cross-functional teams.
• Ability to translate business requirements into practical technical designs and engineering deliverables.
• Collaborative working style suited to international, multidisciplinary project environments.
• Proactive approach to learning emerging AI technologies and adapting to evolving technical requirements.
• Strong attention to solution quality, technical reliability and effective project delivery.

Language Requirements:

• Japanese: Fluent proficiency required for client workshops, technical discussions, solution demonstrations and delivery reviews with pharmaceutical customers in Japan.
• English: Fluent proficiency required for collaboration with global AI, data engineering, consulting and technology teams.

Preferred Skills & Qualifications

• Previous experience working in the pharmaceutical or life sciences industry.
• Understanding of pharmaceutical business functions such as commercial operations, research and development (R&D), sales force analytics or medical affairs.
• Familiarity with pharmaceutical data platforms including Veeva CRM, IQVIA, Symphony Health or equivalent solutions.
• Experience using AWS SageMaker or AWS Lambda for AI development and cloud integration.
• Practical exposure to Azure OpenAI Service or Azure Data Factory.
• Familiarity with Microsoft Power Platform, Power Automate, Microsoft 365 Copilot and Copilot Studio governance.
• Experience working with vector databases, enterprise retrieval systems or advanced RAG architectures.
• Relevant certifications such as AWS Machine Learning Specialty, AWS Solutions Architect, Azure AI Engineer or Databricks certifications.
• Experience delivering AI solutions for enterprise clients in regulated or data-intensive industries.

About the Company

Our client is a leading global AI and data consulting organisation supporting pharmaceutical and life sciences companies through advanced analytics, enterprise data platforms and artificial intelligence solutions.

The company helps organisations apply modern data engineering, machine learning, Generative AI and intelligent automation technologies to complex business challenges.

As the adoption of GenAI and Agentic AI accelerates across the global life sciences industry, the organisation is expanding its AI engineering capabilities in Japan.

Its technology teams design and deliver production-grade AI applications, intelligent agents, enterprise data integrations and scalable cloud-based solutions for pharmaceutical customers.

The organisation works with a broad range of leading technology platforms, including OpenAI, Microsoft Copilot Studio, AWS Bedrock, Databricks, Informatica IDMC, LangGraph and vector databases.

Engineers gain exposure to the complete AI and data engineering lifecycle, from data ingestion, integration and retrieval pipelines through to LLM applications, agent orchestration and enterprise deployment.

The company brings together AI engineers, data specialists, consultants and international technology professionals, creating a collaborative environment focused on delivering practical and commercially valuable AI solutions.

Joining this organisation offers the opportunity to contribute to advanced AI innovation within the pharmaceutical and life sciences industry, while developing expertise across multiple AI platforms and enterprise technology ecosystems.

Why You'll Love Working Here

• Work at the forefront of Generative AI and Agentic AI innovation within the global pharmaceutical and life sciences industry.
• Develop production-grade AI applications that address real-world enterprise business challenges.
• Gain hands-on experience with OpenAI, ChatGPT Enterprise, Microsoft Copilot Studio and AWS Bedrock.
• Build advanced LLM applications, RAG pipelines, AI assistants and multi-agent systems.
• Strengthen your expertise in LangGraph, AutoGen and agent orchestration technologies.
• Work across modern data platforms including Databricks, Delta Lake, MLflow and Informatica IDMC.
• Gain experience integrating structured and unstructured pharmaceutical and enterprise data into intelligent applications.
• Collaborate directly with major pharmaceutical and life sciences clients in Japan.
• Participate in Japanese-language client workshops and technical solution discussions.
• Work within an international environment alongside global AI, data engineering and consulting teams.
• Develop broad expertise across GenAI, cloud engineering, data integration, enterprise AI and intelligent automation.
• Gain exposure to multiple leading AI technology ecosystems rather than being restricted to a single platform.
• Contribute to scalable, secure and production-ready AI solutions with practical enterprise applications.
• Build a long-term career in AI engineering and pharmaceutical technology through a permanent opportunity in Tokyo.

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