Principal Engineer, AI for Data and Analytics

$278,000 - $399,000/Yr

Google - Sunnyvale, CA

Full-time - Senior

Sunnyvale, CA

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About the position

As the Principal Engineer of AI for Data and Analytics at Google, you will lead the technical strategy and execution of integrating generative AI capabilities into Google Cloud's data analytics ecosystem. This role involves architecting and delivering complex systems that influence critical products like Looker and BigQuery, ultimately impacting millions of users by enhancing data interaction and analysis through generative AI.

Responsibilities

• Define and execute the technical roadmap for generative AI within Google Cloud's data and analytics platform, aligning with the overall product strategy.
• Identify key opportunities, prioritize projects, and manage resources effectively to maximize impact across the portfolio.
• Collaborate closely with Product Management, UX Design, and Research teams as well as other Google Cloud teams to ensure alignment between technical capabilities and user needs.
• Stay at the forefront of advancements in generative AI, LLMs, and related technologies.
• Provide technical guidance, conduct code reviews, and support professional development to build a high-performing team.
• Lead the technical design and direction of generative AI features within Google Cloud's data and analytics ecosystem, architecting scalable and robust solutions leveraging LLMs for critical tasks.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 15 years of professional experience in software engineering.
• 10 years of experience working in data and analytics or Business Intelligence.
• Experience building and deploying large-scale systems in a cloud environment.
• Experience bringing tech products to market at a similar scale to that at which Google operates.

Nice-to-haves

• PhD in Computer Science or similar field.
• Experience working with executive level internal and external clients/partners, acting as a representative of the company.
• Experience publishing in AI/ML conferences, demonstrating a deep understanding of the field and a commitment to advancing the state of the art.
• Ability to work cross-functionally, partnering with groups (e.g., Product Management, Product Marketing, UX, and UI), brokering trade offs with stakeholders and understanding their needs.
• Excellent narrative and storytelling abilities, communication skills, and presentation skills.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid time off
• Flexible scheduling
• Professional development opportunities
• Employee stock purchase plan
• Tuition reimbursement
• Wellness programs