Senior AI Engineer – GenAI & Agentic AI Platform

ABOUT THE ROLE

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.

CLIENT-DEPENDENT AI PLATFORMS

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

Location: Tokyo - Hybrid (3 days onsite)

Microsoft Copilot Studio

Copilot build & publish · Custom connectors · Power Platform · Teams deployment · Enterprise governance

ChatGPT Enterprise

Enterprise rollout · OpenAI API · GPT-4o · Fine-tuning · Prompt governance · Data privacy controls

AWS Bedrock

Foundation model APIs · Agents for Bedrock · Knowledge bases · RAG on S3 · Lambda · Guardrails

CORE TECHNICAL PILLARS

GenAI

LLM integration · RAG · Fine-tuning · Prompt engineering · Evaluation · Vector DBs

Agentic AI

Multi-agent systems · LangGraph · AutoGen · Tool use · Memory · Planning loops

Data Engineering

Medallion (Bronze/Silver/Gold) · Databricks · Delta Lake · Structured & unstructured data

Data Integration

Informatica IDMC · MDM · Data quality · Lineage · Cloud connectors

KEY RESPONSIBILITIES

• 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.

REQUIRED QUALIFICATIONS

• 6–8 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.

PREFERRED QUALIFICATIONS

• 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.

GENAI & AGENTIC AI SKILLS

ChatGPT Enterprise

OpenAI API / GPT-4o

AWS Bedrock

Copilot Studio

RAG pipelines

LangGraph

AutoGen

Agents for Bedrock

Prompt engineering

Vector databases

Multi-agent orchestration

Fine-tuning

DATA PLATFORM SKILLS

Databricks

Delta Lake

Medallion architecture

Informatica IDMC

Structured data

Unstructured data

MLflow

MDM / Data lineage

CLOUD & INTEGRATION

AWS SageMaker

AWS Lambda

Azure OpenAI

Power Platform

Azure Data Factory

Python

LangChain

Japanese (N2+)

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