Senior Software Engineer focused on building and enhancing serving solutions for Gemini models and infrastructure for AI capabilities.
Compensation
The US base salary range for this full-time position is $221,450 - $253,000 + 15.00% bonus target + equity + benefits determined by role, level, and location.
Responsibilities
Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance
Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework
Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems
Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development
Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs
Define the data requirements and structure for the application. Model and design the application data structure, storage and integration using GenAI and Vertex AI.
Responsibilities
Own end-to-end agentic architecture for enterprise GenAI platforms using Google ADK and Vertex AI
Define multi-agent and agent-of-agents architectures leveraging A2A (Agent-to-Agent) communication patterns
Design and operationalize MCP-based orchestration layers for agent lifecycle management, coordination, and governance
Establish reference architectures, design patterns, and reusable frameworks for scalable agent platforms
Architect advanced RAG pipelines, including optimal chunking strategies, embedding selection, retrieval tuning, and re-ranking
AI Sales Specialist focused on enterprise software and cloud solutions within the Google Cloud Platform team.
Responsibilities
Build relationships with customers as a subject matter expert and trusted advisor, manage complex business cycles, identify solution use cases, and influence long-term strategic direction of accounts.
Deliver against quota and achieve or exceed strategic business and growth goals, forecasting and reporting territory’s business.
Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) and partners to develop Go-to-Market (GTM) strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
Develop and execute strategic account plans informed by the responsible AI frameworks across an assigned territory or market.
Work with multiple customers and opportunities simultaneously, understand each customer’s technology footprint and strategy, growth plans, business drivers, performers, and how they can transform their business using our technologies.
Requirements
Bachelor's degree or equivalent practical experience
As a Google Data & AI Engineer (Senior Analyst), you will build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
Build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
L9 Specialist who leads client-facing delivery of data, analytics, and AI solutions on Google Cloud, with deep GCP product expertise and domain depth in one or more of Data Platform Modernization, Analytics & BI, Generative & Agentic AI, or Customer 360.
Responsibilities
Design, build, test, and deploy complex data pipelines, analytics, and ML/GenAI solutions on Google Cloud, working across the entire delivery lifecycle from requirements gathering to production support.
Work directly with clients to understand business and data challenges, translate requirements into technical designs, and act as a technical advisor for the client throughout the project.
Lead and mentor on-shore and off-shore engineers, conduct design and code reviews, and collaborate with cross-functional stakeholders to ensure alignment and delivery excellence.
Apply DataOps/MLOps practices and Infrastructure as Code (Terraform) within an Agile framework to deliver high-quality solutions at pace.
Build accelerators, reference architectures, and POVs that make Google Data & AI delivery repeatable and tied to measurable outcomes.
Requirements
Nice to have: Java
Nice to have: Scala
Nice to have: Apache Beam
Nice to have: Google Cloud Professional Data Engineer certification
Nice to have: Google Cloud Professional Machine Learning certification
Build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support.
Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders.
Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues.
Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks.
Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications.
Senior Software EngineerNewGoogle · Mountain View, US