Applied AI Engineering Lead, Core Enterprise, Core

Google is seeking an Applied AI Engineering Lead to join their Core Enterprise team, focusing on implementing AI/ML solutions across Google's enterprise operations. This role combines technical leadership with people management, requiring both deep expertise in machine learning and the ability to guide teams effectively.

The position sits within Google's CorpEng Machine Learning team, which is responsible for responsibly applying AI/ML techniques to Google's enterprise tests. The team collaborates with both research and enterprise teams to identify and implement AI opportunities across the organization. As part of Google's Core team, you'll be working on fundamental technical solutions that impact products across the company.

The ideal candidate will bring 8+ years of software development experience, with particular expertise in machine learning, including model development, training, and evaluation. Leadership experience is crucial, with at least 3 years in technical leadership and 2 years in people management roles. Knowledge of Large Language Models (LLMs) is highly valued.

Key responsibilities include managing the applied AI engineering team, collaborating with product management to develop strategic roadmaps, and directing AI initiatives across various Google Enterprise domains such as Legal, People Operations, and Finance. The role offers the opportunity to impact critical technical decisions across Google while working with cutting-edge AI technologies.

This position is based in Hyderabad, India, and is part of Google's larger mission to integrate AI capabilities throughout its enterprise operations. The role combines technical depth with strategic leadership, making it ideal for experienced engineers looking to shape the future of AI applications in enterprise settings while leading and developing teams.

Google offers a collaborative environment, the chance to work on impactful projects, and the opportunity to shape the future of AI applications in enterprise settings. The company is committed to diversity and inclusion, providing equal opportunities for all qualified candidates regardless of background.