Google

Applied AI Engineering Lead, Core Enterprise, Core

Posted On

April 22, 2025

Location

Hyderabad, Telangana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

May 8, 2025

Job Description

Guide and manage applied AI engineering team.
Partner with product management and other engineering teams to develop the team's roadmap and execute on deliverables.
Direct global and regional AI initiatives in service of mission business problems in various Google Enterprise domains such as Legal, People Operations, Finance, etc.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Experience in working with Machine Learning, including modeling, training and evaluating models.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
Experience with Large Language Model (LLM).

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Experience in working with Machine Learning, including modeling, training and evaluating models.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

CorpEng Machine Learning team is responsible for applying Artificial Intelligence/Machine Learning techniques to Google's own enterprise tests in the most responsible manner. The team works with research as well as enterprise teams to identify opportunities for Artificial Intelligence incorporation and application.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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