📋 Job Details at a Glance 📍 Location India 🏢 Company Google 👥 Experience 0-2 years 🎓 Qualification Bachelor’s degree or equivalent practical experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills AI solution architecture customer consultation technical sales solution prototyping workload adoption stakeholder management problem-solving Google Cloud cloud-based AI products prototyping tools AI Customer Engineer at Google — Full Details & How to Apply Google is seeking an AI Customer Engineer in India , a role pivotal for driving customer success with cloud-based AI solutions. Fresh graduates from 2023 to 2026 are encouraged to apply online for this unique role. The demand for AI solutions is surging globally, with Google Cloud leading the charge in innovative customer engagement strategies. As an AI Customer Engineer , you will play a crucial role in shaping how businesses adopt and integrate AI technologies, making this position essential in the evolving technology landscape. What makes Google notable for this role is its focus on innovation and quality. Founded in 1998 , Google has over 156,500 employees worldwide and is a leader in cloud computing and AI technologies. This role offers the chance to work with cutting-edge Google Cloud technologies, providing a unique experience that is rare in entry-level positions at competing firms. We encourage applications from 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree or equivalent practical experience and 0-2 years experience . The salary for this position is Not Disclosed , but the value of the experience gained is immeasurable. In this role, you will develop skills in AI solution architecture , customer consultation , technical sales , and solution prototyping . This foundational experience will open doors to advanced positions in AI and cloud technologies, setting you on a path for significant career advancement. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the AI Customer Engineer at Google is to architect effective AI solutions using Google Cloud technologies, ensuring clients achieve their specific objectives through innovative cloud-based AI products. Architect technical solutions for complex AI workloads using Google Cloud technologies to meet specific customer needs. Develop customer-specific prototypes utilizing prototyping tools like Google Cloud's AI Platform to demonstrate the capabilities of cloud-based AI products. Collaborate cross-functionally with Go-to-Market teams to ensure alignment on customer requirements and product features. Document and prioritize customer issues and feature requests to enhance product development and customer satisfaction metrics. Take ownership of customer consultations, guiding them from technical evaluation through to successful implementation. Communicate effectively with stakeholders, providing regular updates and reports on project status and customer feedback. Act as a trusted technical advisor, solving complex problems for clients and ensuring their successful adoption of AI solutions . This role fosters an ownership culture, allowing you to directly impact customer success and satisfaction through innovative AI solutions. Required Skills & Technical Competencies The ideal candidate for the AI Customer Engineer role will possess a strong technical skill profile, essential for delivering effective AI solutions and ensuring customer satisfaction. Technical Skills AI solution architecture — foundational — essential for designing scalable AI systems that meet diverse customer requirements. Customer consultation — foundational — critical for understanding client needs and translating them into actionable technical solutions. Technical sales — foundational — involves presenting AI products to clients, requiring strong communication skills and product knowledge. Solution prototyping — foundational — familiarity with prototyping tools is necessary for developing effective customer prototypes. Workload adoption — foundational — vital for guiding clients through the successful implementation of AI solutions. Stakeholder management — foundational — important for coordinating with various teams and ensuring customer satisfaction throughout the project lifecycle. Problem-solving — foundational — necessary for addressing complex challenges faced by clients during the adoption of AI technologies. Google Cloud — foundational — expertise in Google Cloud products is crucial for delivering tailored AI solutions. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates who are eager to apply their technical knowledge in AI and cloud computing within a leading technology company. Candidates must hold a Bachelor's degree in Computer Science , Engineering , or a related field. Eligible batches include 2023 , 2024 , 2025 , and 2026 graduates. While no prior experience is required, candidates with internships or projects in AI or cloud computing will have an advantage. A minimum academic performance of 60% or equivalent CGPA is preferred. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant projects, and technical skills. Include links to your portfolio or GitHub for easy access. Pro tip: Tailor your application to highlight specific experiences with Google Cloud and any relevant AI projects to stand out. Salary for AI Customer Engineer at Google 💰 Compensation Not Disclosed The advertised compensation for the AI Customer Engineer role at Google is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Customer Engineer Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources AI solution architecture — This course provides foundational knowledge crucial for designing AI solutions. solution prototyping — Learn how to create effective prototypes that meet customer needs. stakeholder management — Essential for managing client expectations and project success. KodNest — Offers hands-on experience with AI technologies and cloud solutions. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize your resume to reflect the specific skills and responsibilities outlined in the job description. ❌ Neglecting relevant projects — Showcase internships or projects that demonstrate your technical capabilities. ❌ Using generic language — Highlight your unique qualifications instead of relying on vague statements. ❌ Ignoring formatting — Ensure your resume is clear and easy to read for recruiters. ❌ Not preparing for technical questions — Be ready for questions related to AI and cloud technologies during interviews. ❌ Underestimating networking — Leverage connections and referrals within the tech industry. Before You Apply — Checklist ✅ Research Google Cloud's recent projects and innovations to understand the company's direction. ✅ Update your resume to reflect relevant skills and experiences tailored to the AI Customer Engineer role. ✅ Prepare a portfolio showcasing your technical projects, especially those related to AI and cloud computing. ✅ Practice common interview questions related to AI solutions and customer consultation. ✅ Ensure your LinkedIn profile is up-to-date and reflects your interest in AI and cloud technologies. ✅ Gather references who can speak to your technical skills and work ethic. ✅ Double-check the application portal for any specific submission requirements. ✅ Submit your application well before the deadline to avoid last-minute issues. Resume Tailoring & ATS Keywords for AI Customer Engineer Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include AI solution architecture customer consultation technical sales solution prototyping stakeholder management Google Cloud cloud-based AI products prototyping tools problem-solving workload adoption product management engineering management Resume Tips for This Role Highlight your technical skills in AI and cloud computing, as these are critical for the role. Emphasize any relevant projects or internships that demonstrate your ability to consult with customers. Include a link to your portfolio or GitHub to showcase your practical experience in AI solutions. Optimize your resume with keywords from the job description to pass through ATS filters. Avoid including irrelevant work experience or generic statements that do not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including overly generic statements that do not highlight your unique qualifications for this role. How to Apply for AI Customer Engineer at Google Apply Now — Google Visit the Google Careers portal and search for the AI Customer Engineer position. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form, paying attention to detail and clarity. After submission, expect a confirmation email regarding your application status. Use the application portal to track the progress of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Google NexisGrow.com does not charge any fees for job applications. Google Google was founded in 1998 in a garage in Menlo Park, California, and has since grown to employ over 156,500 employees worldwide. With a presence in over 50 countries , Google has established itself as a leader in the technology sector, continuously shaping the digital landscape from its headquarters in Mountain View, California. Among its core offerings, Google Cloud provides a robust suite of services, including Google AI and Google Workspace , which empower businesses to innovate and streamline operations. The Google Cloud Platform is particularly noted for its advanced machine learning capabilities, enabling organizations to leverage data effectively. Google consistently ranks high on platforms like Glassdoor, boasting a 4.4-star rating for employee satisfaction. The company promotes a culture of innovation and collaboration, offering programs such as Google's Employee Resource Groups that foster diversity and inclusion, contributing to a supportive work environment. Recently, Google Cloud announced a significant expansion in India , aiming to double its workforce by 2025 and enhance its AI capabilities. This initiative reflects Google's commitment to investing in emerging markets and advancing technological innovation in the region. For freshers in technology, Google offers unparalleled opportunities for mentorship and professional growth. With access to cutting-edge technologies and a culture that encourages continuous learning, starting a career as an AI Customer Engineer at Google provides a strong foundation for future success in the tech industry. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 google.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Customer Engineer at Google? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree or equivalent practical experience and 0-2 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AI solution architecture, customer consultation, technical sales, solution prototyping, workload adoption. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Google? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: AI solution architecture, customer consultation, technical sales, solution prototyping, workload adoption. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Customer Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AI solution architecture, customer consultation, technical sales, solution prototyping, workload adoption, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Google research, (5) Clear communication. ? What is the work culture like at Google? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in India Browse all Tech jobs Latest Fresher jobs More jobs at Google Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com