Junior 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

• 3-4 years in AI/ML engineering, data engineering, or applied AI — with at least 1 year 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

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