AI Engineer – GenAI & Agentic AI Platform

Axtria is seeking a technically deep AI Engineer to design and deliver production-grade GenAI and Agentic AI solutions across its pharma and life sciences client portfolio. You will work across the full data and AI stack medallion architecture structured and unstructured data pipelines Informatica IDMC-based integration and intelligent agent systems deploying across client environments that span Microsoft OpenAI and AWS ecosystems. Platform expertise is client-dependent; candidates are expected to be proficient across all three.

Engagements vary by client infrastructure. Candidates must be capable across all three platforms.

Location: Tokyo - Hybrid (3 days onsite)

• Design and deploy GenAI solutions RAG pipelines LLM-powered workflows and enterprise AI assistants across Copilot Studio ChatGPT Enterprise and AWS Bedrock depending on client infrastructure.
• Build Agentic AI systems using multi-agent frameworks (LangGraph AutoGen Agents for Bedrock) enabling autonomous reasoning tool use memory and multi-step planning.
• Develop and maintain medallion architecture (Bronze Silver Gold) on Databricks / Delta Lake handling structured data (CRM sales clinical) and unstructured data (documents PDFs clinical notes emails).
• Implement Informatica IDMC pipelines for data ingestion data quality MDM and lineage integrating cloud and on-prem pharma data sources into unified data layers.
• Build Microsoft Copilot Studio copilots with custom connectors Power Platform workflows and Teams-based enterprise deployment for Microsoft-stack clients.
• Deploy ChatGPT Enterprise at scale including prompt governance frameworks usage policies API integrations and data privacy controls.
• Leverage AWS Bedrock for foundation model APIs knowledge base-backed RAG Agents for Bedrock orchestration and Guardrails for responsible AI.
• Build semantic retrieval and vector search layers (Pinecone OpenSearch Azure AI Search Bedrock Knowledge Bases) to power intelligent agents.
• Define and enforce data governance cataloguing and lineage standards through IDMC and Databricks Unity Catalog.
• Engage pharma clients in Japan conducting requirements workshops solution demos and delivery reviews in Japanese.
• Champion responsible AI practices: agent safety guardrails model observability and prompt governance across all platform deployments.

• 48 years in AI/ML engineering data engineering or applied AI with at least 2 years on GenAI or LLM-based production systems.
• Hands-on experience with at least two of: Microsoft Copilot Studio ChatGPT Enterprise / OpenAI API AWS Bedrock with working familiarity across all three.
• Proven experience designing Agentic AI systems: 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 CDI CAI data quality rules MDM or data lineage workflows.
• Strong Python skills; proficiency with LangChain LangGraph LlamaIndex or similar AI orchestration frameworks.
• Experience processing unstructured data: document parsing NLP pipelines OCR or embedding generation.
• Business-level Japanese proficiency (JLPT N2 or above) and professional English proficiency.

• Working knowledge of pharma functions commercial operations R&D sales force analytics or medical affairs.
• Experience with pharma data platforms: Veeva CRM IQVIA Symphony Health or equivalent.
• Cloud certifications: AWS ML Specialty / Solutions Architect Azure AI Engineer or Databricks certifications.
• Familiarity with Copilot Studio governance Power Automate flows and Microsoft 365 Copilot extensibility.
• Experience with AWS SageMaker Azure OpenAI Service or Azure Data Factory in production environments.

Axtria is an equal opportunity employer and is committed to creating an inclusive environment for all employees.