Lead AI Engineer: Databricks & Agentic AI for PLM

EPAM Systems; Turkey; On-site; TRY 5,926,000 - 8,889,000; Full time

Benefits offered by this job

Continuous upskilling

Corporate benefits

USD compensation

Private health insurance

IT equipment

Job summary

EPAM Systems is seeking a Lead AI Engineer to join our Trinity data platform team for PLM use cases. You will embed in the client's PLM group to design, build and operate the core intelligence layer, leveraging Databricks for agentic solutions and AI governance.

You will own end-to-end development of ingestion pipelines, information extraction, LLM-driven grouping, and a React-based front-end, while aligning with Azure networking and graph database integration.

Qualifications

• 5+ years of experience in AI/data engineering with Databricks expertise.
• Proficiency in ai_parse_document and Agent Bricks for ingestion/extraction.
• Strong Python skills (PySpark, pandas) and FastAPI.
• Frontend experience with React and REST integration.
• Familiarity with Azure networking and private endpoints.
• Knowledge of Graph Databases and Delta Lake/Lakebase.

Responsibilities

• Embed within the client's PLM team from day one to understand workflows.
• Design and implement document ingestion pipelines using Databricks ai_parse_document.
• Build and maintain Agent Bricks pipelines to extract structured fields from documents.
• Develop LLM-powered grouping and recommendation logic with ai_query and Model Serving.
• Build Databricks Apps front-end (React + Python) with upload and human-in-the-loop screens.
• Integrate Graph Database to map relationships between specifications, methods, and AI recommendations.
• Configure Azure Private Link/Private Endpoint connectivity for secure traffic.
• Implement structured logging, lineage tracking in Unity Catalog, and audit trails for governance.
• Contribute to ARB artefacts and technical design documentation.
• Collaborate with Business Analyst to translate PLM requirements into data models and pipelines.

Skills

AI/data engineering

Python

PySpark

FastAPI

LLM prompt engineering

React

REST integration

English (B2+)

Tools

Databricks

Unity Catalog

Model Serving

ai_parse_document

Graph Databases (Neo4j)

Delta Lake/Lakebase

REST API design

Azure DevOps

Job description

EPAM Systems is seeking a Lead AI Engineer to join our Trinity data platform team for PLM use cases. You will embed in the client's PLM group to design, build and operate the core intelligence layer, leveraging Databricks for agentic solutions and AI governance.

You will own end-to-end development of ingestion pipelines, information extraction, LLM-driven grouping, and a React-based front-end, while aligning with Azure networking and graph database integration.