📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company NVIDIA 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Docker, Kubernetes, AWS, GCP, Azure, TensorFlow, PyTorch, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Docker Kubernetes AWS GCP Azure TensorFlow PyTorch AI / LLM agents Senior Solutions Architect, Generative AI at NVIDIA — Full Details & How to Apply NVIDIA is seeking a Senior Solutions Architect, Generative AI for its office in Bengaluru, India . This role requires hands-on experience with LLM agents and RAG workflows , directly enabling clients to solve language-based business challenges through AI-driven solutions. This Senior Solutions Architect, Generative AI role focuses on designing end-to-end generative AI solutions using large language models (LLMs) and Retrieval-Augmented Generation (RAG) workflows. The position involves technical implementation and architecture of AI systems that process natural language, requiring deep expertise in AI/ML frameworks and deployment environments. Candidates will work with real-world client applications, ensuring scalability and performance in production environments. The job posting identifies NVIDIA as a leader in generative AI technology, with this role embedded within a team that develops advanced AI solutions. The position is part of NVIDIA recruitment efforts in India, targeting professionals with proven experience in AI system design and deployment. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must have 5+ years. Hands-on with Docker, Kubernetes, AWS, GCP, Azure, TensorFlow, PyTorch, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience . The role demands 5+ years experience , and the salary is Not Disclosed . Candidates will gain practical experience with Docker , Kubernetes , AWS , GCP , Azure , TensorFlow , and PyTorch . This role provides direct exposure to LLM and RAG implementations, offering a pathway to senior AI architecture roles in enterprise technology environments. 📊 Role Difficulty: High | Competition Level: High | Fresher Friendly: No 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. Search for Senior Solutions Architect, Generative AI jobs or explore NVIDIA recruitment in Bengaluru, India jobs to find similar opportunities. Job Role & Responsibilities The Senior Solutions Architect, Generative AI at NVIDIA designs and deploys end-to-end generative AI solutions centered on LLM and RAG workflows , ensuring scalable, production-grade performance using Docker , Kubernetes , and cloud infrastructure . This role directly impacts customer outcomes through technical design and performance validation. Architect full lifecycle generative AI solutions using PyTorch and TensorFlow to train and deploy large language models in real-world language processing tasks. Implement containerized AI workflows using Docker to package and isolate model components, ensuring consistent execution across environments. Orchestrate distributed AI applications via Kubernetes , managing scaling, health checks, and fault tolerance in production clusters. Collaborate with customers to analyze their language-related business challenges and translate them into technical requirements for LLM deployment. Provide detailed feedback to NVIDIA engineering teams on performance bottlenecks in LLM inference pipelines and RAG retrieval accuracy metrics. Lead the development and maintenance of AI solutions, ensuring alignment with customer performance KPIs such as response time, accuracy, and throughput. Document end-to-end solution design, deployment procedures, and AI solution performance reports using structured formats like JSON and YAML. Engage directly with customers to troubleshoot language-related issues, such as prompt misinterpretation or hallucination, using PyTorch model debugging tools and TensorFlow logging frameworks. This role demands full ownership of solution design, from initial requirement gathering to performance reporting , with direct impact on customer satisfaction and AI model reliability in production environments. Required Skills & Technical Competencies The Senior Solutions Architect, Generative AI role requires a strong foundation in containerization , cloud deployment , and LLM development using industry-standard tools and frameworks. Candidates must demonstrate hands-on experience with specific technologies in real-world AI workflows. Technical Skills Docker — advanced — used to containerize LLM inference services and model preprocessing pipelines in production environments. Kubernetes — advanced — used to orchestrate AI model clusters with dynamic scaling, service discovery, and health monitoring. AWS — intermediate to advanced — used for deploying generative AI applications on EC2, S3, and SageMaker with secure access controls. GCP — intermediate — used to host LLM-based services on Google Cloud AI and Vertex AI, with integration of cloud storage for model data. Azure — intermediate — used to deploy AI solutions on Azure Machine Learning and Kubernetes services for enterprise clients. TensorFlow — advanced — used to build and train large language models with custom data pipelines and evaluation metrics. PyTorch — advanced — used to develop and fine-tune LLM agents with dynamic prompt processing and real-time feedback loops. When showcasing these skills, emphasize hands-on deployment of LLM agents using Docker and Kubernetes , and include performance metrics such as latency, throughput, and accuracy from actual AI workflows. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 5+ years of hands-on experience , and a demonstrated history of shipping AI solutions in production environments. It is not suitable for freshers or those without prior technical implementation. Must hold a degree in Computer Science, AI, or a related technical field with a minimum CGPA of 3.0 or equivalent. Eligible for 2023, 2024, 2025, and 2026 batches only. Minimum of 5 years of professional experience in AI solution development or cloud-based AI deployment . Must have a portfolio demonstrating at least two completed LLM or RAG-based projects with measurable performance outcomes. Must have direct experience with Docker , Kubernetes , and PyTorch in real-world AI applications. Must have worked with cloud platforms such as AWS , GCP , or Azure to deploy and manage AI services. Documentation & Portfolio Requirements Resumes must include a structured portfolio with clear project descriptions, technical stack used, and performance metrics such as inference time, accuracy, and error rates. Include code snippets and deployment diagrams where applicable. For this role, prioritize showcasing real-world AI solution deployments using Docker and Kubernetes , with measurable performance data from LLM or RAG workflows. Include PyTorch or TensorFlow model training logs and cloud infrastructure configurations. Salary for Senior Solutions Architect, Generative AI at NVIDIA 💰 Compensation Not Disclosed The advertised compensation for the Senior Solutions Architect, Generative AI role at NVIDIA 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 Senior Solutions Architect, Generative AI Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Docker — Master containerization to streamline application deployment in AI projects. Kubernetes — Learn orchestration for managing containerized applications effectively. AWS — Gain expertise in cloud services essential for scalable AI solutions. GCP — Understand Google Cloud Platform for deploying AI applications seamlessly. KodNest — Enhance your coding skills relevant to AI and machine learning. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with LLMs or RAG workflows — ensure to include relevant projects. ❌ Using a generic resume instead of tailoring it to the specific responsibilities outlined in the job description — customize your resume for this role. ❌ Listing technologies like TensorFlow or PyTorch without context on their application in past roles — provide specific examples. ❌ Ignoring the requirement for over 5 years of experience, which is crucial for this role — clearly state your relevant experience. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — focus on relevant skills only. ❌ Not verifying the official Apply URL and job details before submission — always double-check before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Solutions Architect, Generative AI Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Generative AI Large Language Models Retrieval-Augmented Generation Docker Kubernetes AWS GCP Azure TensorFlow PyTorch AI agents Solutions Architect Resume Tips for This Role Highlight your experience with generative AI and LLMs prominently on your resume. Emphasize your hands-on experience with Docker , Kubernetes , and cloud platforms like AWS and GCP . Consider showcasing projects where you implemented AI solutions using TensorFlow or PyTorch . Use exact keywords from the job description to align your resume with ATS requirements. Avoid including unsupported claims about technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated work experience or unsupported claims in your resume for this role. How to Apply for Senior Solutions Architect, Generative AI at NVIDIA Apply Now — NVIDIA Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — NVIDIA NexisGrow.com does not charge any fees for job applications. NVIDIA NVIDIA is a technology company based in Bengaluru, India , offering onsite work for its Senior Solutions Architect, Generative AI role. The position operates within the technology industry, focusing on advanced AI solutions and customer-driven innovation. The team designs end-to-end generative AI solutions centered on large language models and retrieval-augmented generation workflows. They collaborate with customers, sales teams, and engineering groups to deliver tailored AI capabilities and technical demonstrations. This role supports NVIDIA ’s focus on generative AI by enabling real-world implementation of LLMs and RAG workflows through hands-on experience with tools like Docker , Kubernetes , and TensorFlow . Early-career professionals gain exposure to cutting-edge AI tools including PyTorch , AWS , GCP , and Azure , while developing practical skills in AI agent design and scalable AI workflows. Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 nvidia.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and over 5 years of experience, from the eligible batches of 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Docker, Kubernetes, AWS, GCP, Azure, TensorFlow, and PyTorch. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review generative AI concepts. 2. Familiarize yourself with LLMs and RAG workflows. 3. Practice using Docker and Kubernetes. 4. Prepare examples of past projects. 5. Understand NVIDIA's AI technologies. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bengaluru, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to cutting-edge AI technologies and collaboration with engineering teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight experience with generative AI, LLMs, Docker, Kubernetes, and relevant technical qualifications. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with customers and engineering teams in an onsite setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the role requires over 5 years of experience. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at NVIDIA 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