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A leading gaming company is seeking a technical architect to develop and implement innovative AI solutions across its projects. The role involves defining technical architecture principles and evaluating trade-offs in software design. Ideal candidates will possess experience in scalable software solutions and a collaborative mindset to work with diverse teams.
Who We Are
Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.
While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.
The Challenge
Take-Two’s AI group focuses on developing innovative ways to solve problems within the game development process, demonstrating directly the ways that AI can improve the creativity and efficiency of team members across T2 and its subsidiaries.
We are looking for a technical architect to join our multi-functional team. In this role, you\'ll define the principles that guide technical architecture decisions and play a pivotal role in developing, implementing, and maintaining scalable and resilient software solutions across our portfolio of AI-related projects. This includes identifying and evaluating alternative architectures and the trade-offs in cost, performance, and scalability.