LG CNS to Hire Hundreds of New Employees in Key Areas This Fall

By BAEK SEO HYUN Posted : September 10, 2026, 11:40 Updated : September 10, 2026, 11:40

LG CNS announced it will hire hundreds of new employees this fall in key business areas such as artificial intelligence (AI), robotics, and consulting.


The recruitment will cover nine positions: AI, robotics, consulting, digital transformation (DX) engineer, cloud application modernization (AM), architect, enterprise resource planning (ERP), smart factory, and convergence engineer.


The AI role involves designing and implementing AI models and services optimized for client businesses. New hires will plan specialized AI services across various industries, including finance, public sector, manufacturing, and logistics, and can grow into AI transformation (AX) experts.


The robotics position focuses on applying robots in manufacturing and logistics and verifying the feasibility of next-generation robotic technologies in the field. LG CNS is expanding its robotics transformation (RX) business, having launched the integrated platform 'Physical Works' in May.


The consulting role analyzes client business issues to establish AX and digital transformation (DX) strategies. DX engineers will develop core systems and services for various industries, including digital finance, public sector, and telecommunications.


Graduates with a bachelor's degree or higher, as well as those expected to graduate in February 2027, can apply regardless of their major. LG CNS plans to prioritize candidates with relevant experience and expertise in the nine positions.


The hiring process will consist of document screening, written tests, practical interviews, and final interviews. The written test will include an aptitude test and a 'CNS specialized test.'


The CNS specialized test was newly established to evaluate interest in the latest technology and industry trends, as well as skills in utilizing generative AI. It will assess understanding of global technology and industry trends across all positions, with coding and planning components to verify generative AI capabilities based on the applied role.





* This article has been translated by AI.

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