Junior AI Engineer – GenAI & Agentic AI Platform
Axtria, Inc.2 months ago
Tokyo, JapanEntry Level
Responsibilities
- Design and deploy RAG pipelines, LLM-powered workflows, and enterprise AI assistants across Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock.
- Build multi-agent systems using LangGraph, AutoGen, and Agents for Bedrock with tool use, memory, and multi-step planning.
- Develop Databricks and Delta Lake medallion architectures for structured and unstructured pharma data.
- Implement Informatica IDMC pipelines for ingestion, data quality, master data management, lineage, and cloud/on-premises integration.
- Build Copilot Studio copilots, custom connectors, Power Platform workflows, and Microsoft Teams deployments.
- Deploy ChatGPT Enterprise with prompt governance, usage policies, API integrations, and data privacy controls.
- Use AWS Bedrock foundation model APIs, knowledge bases, Agents for Bedrock, and Guardrails for responsible AI.
- Build semantic retrieval and vector search layers using Pinecone, OpenSearch, Azure AI Search, and Bedrock Knowledge Bases.
- Define data governance, cataloguing, and lineage standards through Informatica IDMC and Databricks Unity Catalog.
- Conduct requirements workshops, solution demonstrations, and delivery reviews with pharma clients in Japan in Japanese.
- Champion agent safety, guardrails, model observability, and prompt governance across deployments.
Requirements
- 3–4 years of experience in AI/ML engineering, data engineering, or applied AI, including at least 1 year with production GenAI or LLM-based systems.
- Hands-on experience with at least two of Microsoft Copilot Studio, ChatGPT Enterprise/OpenAI API, and AWS Bedrock, with working familiarity across all three.
- Experience designing agentic AI systems involving multi-agent orchestration, tool use, memory management, and planning with LangGraph, AutoGen, or equivalent.
- Deep proficiency with Databricks, Delta Lake, MLflow, Unity Catalog, and medallion architecture.
- Hands-on Informatica IDMC experience, including CDI, CAI, data quality rules, MDM, or data lineage workflows.
- Strong Python skills and proficiency with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Experience processing unstructured data through document parsing, NLP pipelines, OCR, or embedding generation.
- Working knowledge of pharma functions such as commercial operations, R&D, sales force analytics, or medical affairs is preferred.
- Experience with Veeva CRM, IQVIA, Symphony Health, or equivalent pharma data platforms is preferred.
- Cloud certifications such as AWS ML Specialty, Solutions Architect, Azure AI Engineer, or Databricks certifications are preferred.
- Familiarity with Copilot Studio governance, Power Automate flows, Microsoft 365 Copilot extensibility, AWS SageMaker, Azure OpenAI Service, or Azure Data Factory is preferred.
Benefits
- Tokyo hybrid work arrangement with 3 days onsite.
- Opportunity to deliver GenAI and agentic AI solutions across pharma and life sciences client environments.
- Engagement with Microsoft, OpenAI, and AWS AI ecosystems and enterprise-scale responsible AI initiatives.
Tech Stack
Categories
AI ApplicationsData Engineering
About Axtria, Inc.
Axtria builds cloud software and analytics used by life sciences companies to manage data, sales operations, incentive compensation, and commercial analytics. Its platforms include Axtria DataMAx, SalesIQ, InsightsMAx, and CustomerIQ, which support the product commercialization process from data to insights to action. Founded in 2010 and headquartered in Berkeley Heights, NJ, the company is privately held with customers across more than 75 countries.