Senior AI Engineer – GenAI & Agentic AI Platform
Axtria, Inc.2 months ago
Tokyo, JapanSenior
Responsibilities
- Design and deploy RAG pipelines, LLM-powered workflows, and enterprise AI assistants across Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock.
- Build agentic AI systems using LangGraph, AutoGen, Agents for Bedrock, multi-agent orchestration, tool use, memory, and planning loops.
- Develop medallion architecture on Databricks and Delta Lake for structured and unstructured CRM, sales, clinical, document, email, and notes data.
- Implement Informatica IDMC pipelines for ingestion, data quality, MDM, lineage, and integration of cloud and on-premises pharma data sources.
- Build Copilot Studio copilots with custom connectors, Power Platform workflows, and Teams deployment.
- 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 platform deployments.
Requirements
- 6–8 years of experience in AI/ML engineering, data engineering, or applied AI, including at least 2 years working with production GenAI or LLM systems.
- Hands-on experience with at least two of Microsoft Copilot Studio, ChatGPT Enterprise or OpenAI API, and AWS Bedrock, with working familiarity across all three.
- Experience designing agentic AI systems involving multi-agent orchestration, tool-use patterns, memory management, and planning with LangGraph, AutoGen, or equivalent.
- Deep proficiency with Databricks, Delta Lake, MLflow, Unity Catalog, and medallion architecture for structured and unstructured data.
- 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 with document parsing, NLP pipelines, OCR, or embedding generation for unstructured data.
- 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, and Microsoft 365 Copilot extensibility is preferred.
- Production experience with AWS SageMaker, Azure OpenAI Service, or Azure Data Factory is preferred.
Benefits
- Hybrid role based in Tokyo with 3 days onsite.
- Work across Microsoft, OpenAI, and AWS client environments in the pharma and life sciences sector.
- Axtria is an equal opportunity employer committed to an inclusive environment for all employees.
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.