Google Senior Software Engineer, Data Analytics AI Agent

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Job Details

Posted date: Jul 23, 2025

Location: Seattle, WA

Level: Senior

Estimated salary: $205,000
Range: $166,000 - $244,000


Description

Design, develop, and deploy scalable, production-level agentic based systems for data analytics tasks.

Write tested code for the core components of the AI Agent.

Lead and participate in design reviews with peers and stakeholders, make scalable, sustainable design choice and right tradeoff.

Design, build, and improve evaluation pipeline.

Work with multiple partner stakeholders with ambiguity and competing priorities.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The team's mission is to revolutionize the data analytics landscape by creating Generative AI products. The idea is to infuse Business Intelligence with Generative AI, pushing the boundaries of data-driven experiences at scale, with the goal of crafting data offerings across multiple products like Looker and BigQuery.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.



Qualifications

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Kotlin, Java, Python or TypeScript. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). 3 years of experience with Generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with Generative AI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 3 years of experience working in a changing organization involving cross-functional, or cross-business projects. 1 year of experience in a technical leadership role.

Extended Qualifications

Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Kotlin, Java, Python or TypeScript. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). 3 years of experience with Generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with Generative AI-related concepts (e.g., language modeling, computer vision).

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