Senior AI Transformation Engineer

Lgelectronics; Englewood Cliffs (NJ); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

No-cost employee premiums

401(k) matching contributions

Generous PTO and holidays

Short-term incentives

Job summary

LG Electronics is hiring a Senior AI FDE to drive enterprise AI transformation across North America. You will identify opportunities, design scalable AI-enabled workflows, and build production-grade capabilities embedded with business domain teams.

The role requires hands-on AI engineering, strong software foundation, and excellent communication with stakeholders to deliver practical, high-impact AI solutions.

Qualifications

• Extensive software engineering and AI/ML delivery experience in enterprise environments.
• Strong programming skills across Python, Java, JavaScript/TypeScript, and SQL.
• Hands-on experience with LLM-based apps and agent systems, including orchestration.
• Proven ability to translate business needs into scalable, production-grade AI solutions.

Responsibilities

• Lead enterprise AI transformation from discovery to adoption with measurable impact.
• Design AI-enabled workflows and agent-based solutions across functions.
• Create scalable architectures linking data platforms, APIs and analytics.
• Collaborate with stakeholders to translate processes into AI-enabled solutions.
• Produce roadmaps, blueprints, intake frameworks and executive progress reports.

Skills

Software engineering

Applied AI/ML

Data engineering

Enterprise architecture

Python

Java

JavaScript

TypeScript

SQL

LLM apps

API design

Cloud-native architecture

Backend development

Stakeholder communication

Product management

Workflow automation

Project management

Korean-English bilingual

Education

MBA

Technical graduate degree

Tools

RAG pipelines

Knowledge graph

Job description

LG Electronics is hiring a Senior AI FDE to drive enterprise AI transformation across North America. You will identify opportunities, design scalable AI-enabled workflows, and build production-grade capabilities embedded with business domain teams.

The role requires hands-on AI engineering, strong software foundation, and excellent communication with stakeholders to deliver practical, high-impact AI solutions.