About the job

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.
As a Software Engineer in Big Query’s Analytics AI organization, you will build the intelligent backbone for the next generation of data processing. Big Query is a petabyte-scale, serverless data platform processing millions of queries per second. Our mission is to move beyond simple automation and into the era of Agentic AI, creating sophisticated, autonomous solutions that partner with users to solve their most complex data issues.

In this role, you will design and implement AI-native solutions that act as a force multiplier. You will architect agents capable of reasoning over vast datasets, optimizing complex pipelines, and assisting across the entire data lifecycle, from ingestion and feature extraction to model training and advanced analytics. You will work at the intersection of large-scale distributed systems and Generative AI.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $174,000-$252,000 + 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.

Responsibilities

• Lead the design and development of next-generation agentic solutions that manage reasoning for various data developer experiences, such as data ingestion, data pipelines, data science, feature extraction, model training, and more.

• Redefine the customer experience for Data Analytics with an AI-first focus.

• Architect systems that integrate Large Language Models (LLMs) with Big Query’s core engine to create autonomous "experts" for various user personas.

• Iterate on agentic frameworks, contributing to sophisticated tool use, memory, context retrieval, multi-step orchestration, and evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale.

• Partner cross-functionally with Product, Data Scientists, Applied Scientists, and User Experience (UX) Designers to define the roadmap for AI-native data journeys.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 5 years of software development experience with a focus on artificial intelligence/machine learning (AI/ML) or data analytics.

• Experience with generative AI, agentic frameworks (e.g., Lang Chain, Auto Gen), backend system design, large-scale distributed systems, ML concepts, and cloud services.

• Experience with large-scale distributed systems and with one or more of the following Java/Go/Python/TypeScript.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.

• Experience building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line (CLI).

• Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.

• Familiarity with data warehousing concepts and Big Query.