Senior AI Engineer – GenAI & Agentic AI Platform
Axtria, Inc.25 days 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