Senior GenAI & Data Quality Architect

Schneider Electric; Hinoba-an; On-site; PHP 986,000 - 1,380,000; Full time

Job summary

Schneider Electric seeks a Senior Analyst - Data Quality to lead GenAI/LLM application development, focusing on agentic systems, RAG pipelines, and LangChain/LangGraph tooling. You will build intelligent, tool-using agents and evaluation frameworks, integrating LangSmith for monitoring and testing across enterprise environments.

You should bring 5–10 years of experience, strong Python and ML foundations, and hands-on experience with LangChain, LangGraph, LangSmith, and related AI tooling.

Qualifications

• 5–10 years total experience with 2–4+ years GenAI delivery.
• Strong Python and ML foundations including feature engineering and model selection.
• Hands-on with LangChain, LangGraph, LangSmith and RAG patterns; experience with LLMs.

Responsibilities

• GenAI / LLM application development using LangChain and LangGraph.
• Design and implement RAG architectures with memory and vector databases.
• Develop prompts with instruction following, ReAct, and chain-of-thought strategies.
• Evaluate and ground LLM outputs and pipelines using LangSmith for monitoring.
• Build agentic workflows with tool-calling and planner–executor systems.
• Collaborate with backend teams to productionize GenAI and agentic systems.

Skills

Python

LangChain

LangGraph

LangSmith

RAG patterns

Vector databases

MCP tooling

Agent tool integration

ReAct

Tree of Thoughts

Multi-agent orchestration

Education

Bachelor’s or Master’s degree in CS/AI/related field

Tools

FAISS

Azure OpenSearch

OpenSearch

pgvector

AWS / Azure / Databricks

Git / GitOps

Job description

Schneider Electric seeks a Senior Analyst - Data Quality to lead GenAI/LLM application development, focusing on agentic systems, RAG pipelines, and LangChain/LangGraph tooling. You will build intelligent, tool-using agents and evaluation frameworks, integrating LangSmith for monitoring and testing across enterprise environments.

You should bring 5–10 years of experience, strong Python and ML foundations, and hands-on experience with LangChain, LangGraph, LangSmith, and related AI tooling.