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GPC Global Technology Center in Krakow is seeking an innovative Engineering Tech Lead to drive Generative AI initiatives and cloud-based product development. You will lead a small team of engineers, hands-on coding in Python and Java, and collaborate with data scientists to accelerate production deployments on Google Cloud Platform.
The role emphasizes architectural design, mentorship, and continuous learning, with a focus on delivering scalable AI-enabled solutions across e-commerce, data
Genuine Parts Company founded in 1928 and based in Atlanta, Georgia, is a leading specialty distributor engaged in the distribution of automotive and industrial replacement parts and value-added services. The Company operates a global portfolio of businesses with more than 10,000 locations across the world, employing 60,000 people.
The GPC Global Technology Center in Krakow, established in 2022 by Genuine Parts Company is an innovative research and development facility supporting GPC’s digital transformation efforts.
The hub is focused on the development of advanced technologies and solutions that support GPC's operations and growth.
The GPC Global Technology Center team works on a wide range of projects assisting in areas such as e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. This is home to a team of highly skilled IT engineers who are dedicated to driving innovation and delivering cutting-edge solutions for GPC.
We are seeking an innovative and hands-on Engineering Tech Lead to join our Special Projects team, focusing on the exploration and implementation of Generative AI and other innovative new technologies. The ideal candidate will have a unique blend of leadership, technical expertise, and a passion for new technology. Your role will be central to understanding the applicability of Generative AI for our company's unique use cases, and you will be instrumental in bringing Cloud solutions from development to production.
The ideal candidate will have a proven track record of leading teams that develop and support Products written in Python and Java in production settings. This candidate will be hands-on in the development activities with their team and will have good knowledge of the Python landscape. This person will be working closely with other Engineers, Product, and Data Scientists to develop and deploy Products built around LLMs in the Google Cloud Platform.