Engineering Director, AI, HR Engineering

Google; Bengaluru; Sur place; INR 3 500 000 - 7 500 000; Plein temps

Résumé du poste

Google is seeking an Engineering Director for the AI Accelerator for HR Function in Hyderabad. Lead a new team of AI/ML engineers and PMs, shaping technical strategy and execution to revolutionize HR operations.

You will partner with UX and product teams, define architecture, monitor production AI models, and drive budgets, staffing, and roadmaps to deliver scalable, secure solutions.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 15 years of software engineering experience with 3 years in leadership managing large teams (40+ engineers).
• Experience leading ML/AI-powered products in production environments.

Responsabilités

• Define the AI Accelerator’s technical vision and roadmap for HR technology.
• Recruit and lead a team of AI/ML engineers and scientists; mentor and grow talent.
• Oversee the full development lifecycle of AI products and ensure timely delivery and risk mitigation, with product managers for specs.

Connaissances

AI/ML leadership

Team management

Cloud technologies

Strategic thinking

Formation

Bachelor's degree in Electrical Engineering or Computer Science

Outils

TensorFlow

PyTorch

Scikit-learn

GCP

Description du poste

About the job

The HR Engineering team builds people and culture solutions and powers the HR technology that underpins the entirety of a Googler’s career, from hire to retire. We are seeking a highly accomplished and visionary Engineering Director to lead the technical strategy, prototype to development, and execution for our new “AI Accelerator for HR Function” team in Hyderabad. This is a foundational leadership role, pivotal in building and scaling a team of AI/ML engineers and Product Managers collaborating closely with UX to deliver innovative artificial intelligence solutions that revolutionize our HR operations. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Define the AI Accelerator’s technical vision and roadmap. Stay current with AI, HR Tech, and cloud technologies to ensure scalable, secure, and high-performance architectural solutions.
• Recruit and lead a team of AI/ML engineers and scientists. Mentor talent, foster a culture of innovation, optimize processes, and support team career growth.
• Oversee the complete development lifecycle of AI products. Ensure timely delivery of high-quality solutions that meet business needs while identifying and mitigating technical risks.
• Work with product managers to create technical specifications from business requirements. Partner with stakeholders and other teams to ensure seamless integration and adherence to enterprise standards.
• Implement monitoring for production AI models. Manage budgets, resource allocation, and project planning to drive operational efficiency.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Science, relevant technical field (with an emphasis on machine learning/artificial intelligence), or equivalent practical experience.
• 15 years of experience in software engineering, with 3 years of experience in a leadership role managing engineering teams (40+ engineers).
• Experience in leading the development and deployment of machine learning and AI-powered products in a production environment.

Preferred qualifications:

• Experience in the HR domain or HR tech.
• Experience in strategic thinking with strong communication and problem-solving abilities.
• Deep understanding of various AI/ML techniques, including Natural Language Processing (NLP), computer vision, predictive analytics, recommendation systems, etc.
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong background in MLOps, data engineering, and cloud platforms (GCP).