About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience programming in Java and Python.

* 5 years of experience with design and architecture; and testing/launching

software products.

* Experience architecting, designing, and developing large-scale distributed

systems.

* Experience designing or deploying distributed data processing systems (e.g.,

BigQuery, Cassandra, PostgreSQL).

* Experience designing, developing, and deploying generative AI agents or large

language model (LLM) applications.

PREFERRED QUALIFICATIONS:

* Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

* 5 years of experience in a technical leadership role leading project teams

and setting technical direction.

* 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

* Experience with semantic data modeling and integrating generative AI agents

with external APIs, databases, or enterprise systems.

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.

Google Cloud Business Platform (GCBP) drives 10X scale for Google Cloud by

accelerating growth, improving reliability via a Unified Data Layer, and

increasing

efficiency.https://hiring.corp.google.com/jobs/openings/google.com-1210382/copy? e=LaunchableFeaturesEnableStartDateGating%3A%3ALaunch%3A%3AEnrolled&content_ref=google+cloud+business+platform+gcbp+drives+10x+scale+for+google+cloud+by+accelerating+growth+improving+reliability+via+a+unified+data+layer+and+increasing+efficiency

Within GCBP, the Cloud Data Analytics and Intelligence (CDANI) team powers the

GCP Enterprise's agentic transformation by unifying data, access, and GenAI

layers into secure, daily-habit

interactions.https://hiring.corp.google.com/jobs/openings/google.com-1210382/copy? e=LaunchableFeaturesEnableStartDateGating%3A%3ALaunch%3A%3AEnrolled&content_ref=within+gcbp+the+cloud+data+analytics+intelligence+cdani+team+powers+the+gcp+enterprise+s+agentic+transformation+by+unifying+data+access+and+genai+layers+into+secure+daily+habit+interactions

In this role, you will

bridge Google Cloud's core data ecosystem and agentic
applications. You will drive the technical strategy, architecture, and
implementation of foundational GenAI capabilities across the GCP Enterprise
enabling the rapid deployment of secure, high-performance, and personalized AI
agents and digital coworkers.
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.Individual pay is determined by factors including job-related
skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Own the technical strategy and architecture for AI-ready data foundations,
including high-throughput processing pipelines, unified storage, and
enterprise semantic models.
* Architect horizontal search and summarization agents, alongside modular
frameworks and personalization capabilities that allow teams to safely
onboard business logic.
* Drive systemic latency optimizations across the agent execution stack to meet
strict end-to-end P50 goals for real-time queries.
* Design automated evaluation frameworks to improve agent accuracy. Establish
data governance, security, and compliance primitives to power real-time
analytics.
* Lead the Data and AI engineering track. Guide designs, mentor developers, and
collaborate cross-functionally to integrate identity management and access
controls.

Which skills does this role require?

JavaPythonDistributed SystemsBigQueryCassandraPostgreSQLLarge Language ModelsSystem ArchitectureData InfrastructureLatency OptimizationData GovernanceAPI IntegrationCloud ComputingLLMAPIIdentity ManagementAccess ControlSoftware EngineeringTechnical StrategyData AnalyticsDigital TransformationGCPLLMs

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