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Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Experience translating customer objectives into integrated cloud solutions across multiple domains. Preferred qualifications: Experience building long-term technical strategies to uncover new workloads with customers. Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, and pen testing). Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security. Experience managing the entire business cycle, defining the delivery and consumption plan and transitioning it for execution. About the jobThe Google Cloud Platform team helps customers transform and build what's 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. As a Platform Customer Engineer, you will partner with technical Sales teams to differentiate Google Cloud to customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in POC and demos, and use your knowledge to architect cross-pillar cloud solutions that solve business challenges. You will focus on identifying, pursuing, winning new business workloads, and driving penetration within existing ones.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.Responsibilities Develop and own the technical account plan and strategy, participating in planning and supporting specific sales motions. Combine sales, programming, and solutions architecture to show the value of Google Cloud Platform across the portfolio through demos, pilots and in-depth workshops. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of sales experience in the technology industry with SaaS, PaaS, or IaaS products and platforms. Experience in client sales or management. Preferred qualifications: Experience with customer and relationship management, and with technology-using platforms. Experience in FSI sales. Understanding of Generative AI solutions. Ability to engage with developer audiences as well as C-level IT and business leaders. Ability to drive strategic business goals in a dynamic environment. About the jobThe Google Cloud Platform team helps customers transform and build what's 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. In this role, you will manage the growth strategy for FSI accounts. You will leverage experience engaging with executives to build on existing relationships, establish relationships in new areas, and act as a business partner to understand the customer's challenges and goals. You will advocate the innovative power of the products and solutions to make organizations more productive, collaborative, and mobile.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.Responsibilities Acquire and grow new customers in the enterprise business to drive Google's expansion into organizations while influencing long-term strategic direction as a trusted business partner. Focus on Generative AI and master Google's Generative AI offerings. Facilitate the business cycle and present insights to founders and C-level executives. Develop growth opportunities by collaborating with customer engineers and Google partners to maximize results in the territory and discover new projects within assigned accounts. Drive business development, deliver accurate forecasts and achieve goals by guiding customers through the entire business cycle. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing pre-sales role. Experience with enterprise architectures and migration strategies for technologies such as cloud to cloud or on-premises to cloud. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience with data centers consolidation, relocation, migration, or virtualization projects. Experience in migrating, architecting and developing software or infrastructure for scalable, distributed systems. Experience in configuration management (e.g., Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions. Experience with networking concepts (e.g., Routing, VPNs, load balancers, and firewalls). Experience migrating Linux workloads across private, public, or hybrid cloud environments. Experience with enterprise approaches for business continuity, disaster recovery and backup and restore. About the jobThe Google Cloud Platform team helps customers transform and build what's 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. As a Practice Customer Engineer (CE) with a specialty in Infrastructure Migrations, you will partner with technical Sales teams and other CEs to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins for the migration of complex, enterprise workloads, in partnership with platform CEs, Google Cloud Consulting, and partners. You will leverage your deep expertise in our most strategic product areas to direct migrating pilot workloads as proofs-of-concept and demos to sell complex migrations of large enterprise workloads to customers. You will solve migration-centered customer challenges and provide a critical feedback loop to influence customers, partners and product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present practical and useful solutions to facilitate and derisk the migration to Google Cloud.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Drive the technical win for complex workloads within migrations to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp. Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in cloud computing or a technical customer-facing role. Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP). Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions. Experience leading technical discovery sessions. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the jobAs a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You serve will a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI). Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++). Experience designing cloud enterprise solutions and supporting customer projects to completion. Ability to communicate in English fluently to collaborate efficiently with local customers. Preferred qualifications: Experience refactoring monolithic applications to microservices, Application Programming Interface (APIs), or serverless models. Experience architecting, developing software, or internet scale production-grade cloud solutions in virtualized environments such as Google Cloud Platform or other public clouds. Experience leading application modernization or application architecture projects. Experience with data structures, algorithms, and software design. Experience with unit or automated testing tools. About the jobAs an Application Modernization Engineer, you will work with customers to transform existing enterprise applications into modern, cloud native applications to reduce time to launch, increase release frequency, reduce time to recovery and failure rate. You will propose and execute, including code development, approaches to modernize Google’s customer’s applications and deploy them to Google Cloud Platform. You will work with customers on application re-design and implementation, including application scaling and reliability. You will also advise on ongoing operations such as application and feature rollouts, monitoring, and more. You will work closely with product management and product engineering to build and drive excellence in our products. You will work with Google's most strategic Cloud customers. You will support customer adoption of Google Cloud products through architecture guidance, best practices, application migration, implementation, troubleshooting, monitoring, and much more. Responsibilities Deliver modern software to Google’s customers, including creating and executing enterprise application transformation and migration strategies. Recommend approaches and estimated effort for application migration and modernization programs. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Be a trusted technical advisor to customers and solve complex software development challenges. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science or related technical field or equivalent practical experience. 6 years of experience as a technical sales engineer in a cloud computing environment or a customer-facing role. Experience with Apache Spark and analytic warehouse solutions (e.g., Teradata, Netezza, Vertica, SQL-Server, and Big Data technologies). Experience implementing analytics systems architecture. Preferred qualifications: Master's degree in Computer Science or a related field. Experience with technical sales or professional consulting in cloud computing, data, information life-cycle management, and Big Data. Experience with coding languages (e.g., Python, JavaScript, C++, Scala, R, or Go). Experience developing data warehousing, data lakes, batch, or real-time event processing and ETL workflow solutions, including architecture design, implementing, tuning, schema design, query of and distributed systems. Knowledge of Linux, Web 2.0 development platforms, solutions, and related technologies (e.g., HTTP, Basic/NTLM,sessions, XML/XSLT/XHTML/HTML). Understanding of DNS, TCP, Firewalls, Proxy Servers, DMZ, Load Balancing, VPN, VPC. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.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.Responsibilities Support local Sales teams in pursuit of business opportunities, engaging customers to address aspects of the data life-cycle. Work with the Business teams, identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet the requirements. Lead technical projects, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the co-ordination of supporting technical resources. Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as needed for meetings, technical reviews, and onsite delivery activities. Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and Request For Information (RFI) response documents. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company. Experience managing the full sales cycle (e.g., pipeline management, forecasting, reporting) and managing commercial negotiations and agreements. Experience engaging and building relationships with a wide range of internal teams and customer stakeholders. Experience prospecting, or building customer relationships from scratch. Preferred qualifications: Experience with consultative selling to executives, asking insightful, visionary questions, presenting future-forward proposals, and building multi-year account strategies and plans. Experience acquiring new logos at scale and securing foundational workloads to accelerate consumption revenue, including building Greenfield territories. Experience with complex agreements structuring, negotiating commercial agreements, and supporting multi-year engagements. Experience leading cross-functional teams and partners in project implementation and negotiation. Experience qualifying leads and presenting the value proposition of cloud, data, and AI technologies against customers’ strategic business opportunities and challenges. Experience showcasing current technology trends and Google Cloud differentiators, and excellent business and financial acumen. About the jobThe Google Cloud Platform team helps customers transform and build what's 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. As a Field Sales Representative (FSR) focused on new customer acquisition for enterprise accounts, you will grow Google Cloud by acquiring new logos and securing the foundational workloads to accelerate their consumption revenue. You will drive long-term revenue growth by gaining an understanding of new customers' critical challenges and aligning them with Google Cloud's portfolio of solutions. You will lead the sales process, from initiating customer conversations to orchestrating internal and external teams to deliver revenue commitments and increased consumption. You will be a strategic partner to customers, leveraging consultative value selling methodology. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile.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.Responsibilities Lead prospecting and acquisition of net new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions. Mobilize internal experts (customer engineering, partner, post-sales) and external partners at the right time to drive consumption and deliver a seamless customer experience. Manage complex, multi-year agreements and formulate persuasive proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans. Manage and track the sales pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes. Develop and implement sales strategies to surpass revenue goals and build trusted, consultative relationships with customers. Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers' business. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in a technical field or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search. Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred qualifications: Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Experience with cloud technologies including Software as a Service (SaaS) applications, Infrastructure as a Service (iPaaS), business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways. Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Responsibilities Drive the technical solution for complex workloads within Artificial Intelligence (AI) product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp. Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in a technical field or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search. Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred qualifications: Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Experience with cloud technologies including Software as a Service (SaaS) applications, Integration Platform as a Service (iPaaS), business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways. Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer (CE) with a specialty in Artificial Intelligence (AI), you will partner with technical sales teams to differentiate Google Cloud to customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Responsibilities Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp. Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in a technical field or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search. Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred qualifications: Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways. Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Responsibilities Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp. Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.