Job Description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Gurgaon, Haryana, India.Minimum qualifications:
- Bachelors degree in Computer Science, or a related technical field, or equivalent practical experience.
- 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting
- 3 years of experience in advanced AI/ML architecture, deploying generative AI applications, intelligent agents, or LLM-powered solutions globally.
- Experience in Python including implementation and deployment of tiered microservices applications.
- Experience deploying production-grade cloud infrastructure or architecting and building cloud-based data solutions (e.g., enterprise data warehouses, data lakes, data pipelines, and associated technologies).
- Bachelors degree, Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience pioneering multimodal AI solutions (text, image, video, and voice) to solve novel, previously unsolved enterprise workflow challenges.
- Deep understanding and applied experience with AI security, Large Language Model (LLM) governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).
- Excellence in architecting highly resilient, globally distributed Retrieval-Augmented Generation (RAG) systems and securely connecting LLMs with disparate legacy enterprise databases.
- Recognized industry thought leadership (e.g., patents, published research, keynotes) in Generative AI, agentic workflows, or large-scale cloud data infrastructure.
The Google Cloud Platform team helps customers transform and build whats next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
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As a Cloud AI Engineer, youll play a key leadership role in ensuring that strategic customers have the best experience adopting Gemini Enterprise alongside the broader Google Cloud Agentic AI suite of products. You will design and implement robust, production-ready application architectures to support customer use cases, leveraging Gemini Enterprise and core Google AI products. Youll work with customers to identify opportunities to transform their workflows with autonomous agents, actively removing technical barriers to ensure successful deployment and high adoption rates of Gemini Enterprise. You will have access to Googles technology to monitor application performance, debug and troubleshoot complex agent behaviors, and address customer and partner needs. In this role, you will lead the end-to-end and timely execution of adopting Google Cloud Platform solutions to the customer.
Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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.
Responsibilities
- Lead and oversee the global delivery and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve highly complex, enterprise-scale technical challenges.
- Serve as the trusted technical advisor to C-suite executives at Googles most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
- Influence the core product roadmap by translating complex architectural challenges into actionable requirements for Googles engineering teams.
- Deliver leading practice recommendations and high-stakes technical presentations to executive boards and key business stakeholders to secure massive-scale technical wins.
- Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.
Skills
Artificial IntelligencePythonCloud InfrastructureData PrivacyGlobal DeliveryImplementationMachine LearningAi/mlAi EngineerLarge Language ModelAiGoogle CloudMlLlmLlmsGenerative AiRagMultimodalGuardrailsAgenticAgentic AiAgentic WorkflowsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Google India Careers 2025
Google is a global technology leader best known for its search engine, cloud computing, advertising platforms, consumer hardware, and AI innovations. Founded in 1998 by Larry Page and Sergey Brin, and headquartered in Mountain View, California, Google entered the India market in 2004 and now operates major campuses in Bengaluru, Hyderabad, Gurugram, and Mumbai. In India, Google serves billions of users through products like Search, YouTube, Android, Google Cloud, and Google Pay, while also investing heavily in digital inclusion and AI‑driven innovation.
Business Model – Google operates as a multi‑segment technology company, generating revenue primarily from advertising (Google Ads, YouTube Ads), cloud services (Google Cloud Platform, Workspace), hardware sales (Pixel devices, Nest), and subscription products (YouTube Premium, Google One). In India, Google’s business model blends B2C scale with B2B enterprise solutions, enabling it to serve both individual users and large organisations. The company’s AI‑first strategy integrates machine learning and generative AI across all products, from Search to Workspace, to deliver personalised, efficient, and secure experiences.
Recent Wins & Recognition –
- In 2024, Google Cloud India deepened its strategic alliance with PwC India to deliver Generative AI solutions across industries, leveraging Vertex AI and Gemini models to transform enterprise operations. (https://www.pwc.in/press-releases/2024/google-cloud-pwc-india-enhance-strategic-alliance-transform-enterprise-solutions-generative-ai.html)
- Google announced a ₹1,000 crore investment in India’s AI ecosystem under the IndiaAI Mission, focusing on AI research, skilling, and start‑up incubation. (https://blog.google/intl/en-in/company-news/outreach-initiatives/google-ai-india-2024-investment/)
- YouTube India surpassed 600 million monthly active users, launching new AI‑powered creator tools to boost content quality and monetisation. (https://blog.youtube/press/)
- Google was recognised among the Top 3 Best Workplaces in India 2024 by Great Place to Work® Institute, highlighting its inclusive culture and employee well‑being programs. (https://www.greatplacetowork.in/best-workplaces-in-india-2024/)
Culture & Values – Google’s core values include focus on the user, innovation, integrity, and respect for the individual. The company fosters a collaborative, open, and inclusive work environment, encouraging employees to spend 20% of their time on passion projects. In India, Google actively supports digital literacy, women in tech, and sustainability initiatives, while offering flexible work models, world‑class learning resources, and global mobility opportunities.
Client‑Facing & Internal Domains – Google India
Search & Knowledge Products
What it is – Google’s core product family, including Google Search, Google Maps, Google News, and Google Lens. India‑based roles include:
- Search Quality & Ranking – Algorithm tuning, spam detection, and relevance optimisation.
- Geo & Maps Data – Mapping accuracy, local business integration, and navigation features.
- Knowledge Graph & AI – Semantic search, entity linking, and generative AI integration.
YouTube & Content Platforms
What it is – Google’s video and creator ecosystem, including YouTube, YouTube Music, and YouTube Shorts. India‑based roles include:
- Creator Partnerships – Onboarding and supporting content creators.
- Content Policy & Moderation – Ensuring compliance with community guidelines.
- Product Growth & Monetisation – Ad formats, subscriptions, and engagement tools.
Google Cloud Platform (GCP)
What it is – Enterprise cloud services for compute, storage, AI, and analytics. India‑based roles include:
- Cloud Solutions Architecture – Designing enterprise cloud deployments.
- Data & AI Engineering – Vertex AI, BigQuery, and ML pipelines.
- Customer Engineering – Pre‑sales technical consulting and onboarding.
Ads & Commerce
What it is – Google’s advertising and commerce products, including Google Ads, AdSense, Google Shopping, and Merchant Center. India‑based roles include:
- Campaign Optimisation – Performance marketing and bid strategy.
- Product Management – Ad formats, targeting, and measurement tools.
- Merchant Solutions – E‑commerce integrations and seller support.
Hardware & Devices
What it is – Consumer electronics like Pixel phones, Nest smart home devices, and Chromebooks. India‑based roles include:
- Hardware Engineering – Device design, testing, and localisation.
- Supply Chain & Ops – Vendor management and logistics.
- Retail & Channel Partnerships – Distribution and sales enablement.
Internal Functions
What it is – Corporate and enabling teams that support Google’s global operations. India‑based roles include:
- People Operations (HR) – Talent acquisition, L&D, and employee engagement.
- Finance & Legal – Compliance, contracts, and budgeting.
- IT & Security – Infrastructure, cybersecurity, and enterprise tools.
Important dates & deadlines?
Application Deadline
29 Nov 26, 05:24 PM IST
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