Solutions Architect - Generative AI

Job Description

Job Title: Senior Solutions Architect - Generative AI. Location: Pune, India

Responsibilities:

• Lead enterprise customers through the complete lifecycle of generative AI projects, from use case discovery to deployment and evaluation
• Design and implement production-grade retrieval-augmented generation (RAG) systems using vector databases and retrieval frameworks
• Guide customers in selecting, customizing, and fine-tuning foundation models including Llama, Mistral, Qwen, and Gemma
• Build and deploy agentic AI applications using frameworks such as LangGraph, CrewAI, AutoGen, and LlamaIndex;
• Advise customers on inference optimization techniques including quantization, speculative decoding, and multi-LoRA serving
• Implement responsible AI practices, including guardrails, red teaming, evaluation frameworks, and observability solutions
• Support operationalization of AI systems through MLOps practices, model versioning, CI/CD workflows, drift detection, and human feedback mechanisms
• Provide architectural guidance for large-scale AI infrastructure deployments utilizing DGX, HGX, high-performance networking, and storage systems
• Design and scale AI clusters for training, fine-tuning, and inference workloads
• Build orchestration solutions using Kubernetes, GPU Operator, Network Operator, Run:ai, and Slurm
• Conduct technical workshops, proof-of-concepts, architecture reviews, and customer presentations;
• Collaborate with sales, product, and engineering teams to translate business requirements into deployable architectures
• Create reusable reference architectures, deployment guides, demonstrations, and technical assets

Qualifications:

• 5 to 8 years of experience as a Solutions Architect, Field Engineer, ML Platform Engineer, or similar customer-facing technical role
• Strong experience with accelerated computing infrastructure, GPUs, networking technologies, storage systems, and data center environments
• Production experience with Kubernetes and workload schedulers such as Run:ai, Slurm, Kubeflow, or Volcano;
• Hands-on experience with large language model training, fine-tuning, RAG architectures, inference optimization, and quantization techniques
• Experience with enterprise AI platforms or the ability to rapidly learn NVIDIA AI Enterprise technologies
• Experience addressing enterprise requirements such as security, compliance, data sovereignty, multi-tenancy, and air-gapped environments
• Strong communication and presentation skills with both executive and technical stakeholders;
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience

Benefits And Compensation:

• Highly competitive salary package
• Comprehensive employee benefits program
• Opportunity to work on cutting-edge Generative AI and accelerated computing technologies
• Exposure to enterprise-scale AI deployments and global customers;
• Collaboration with industry-leading AI researchers, engineers, and architects
• Career growth within one of the world's leading technology companies

Other Information:

• Travel requirement is less than 25%
• Role involves customer-facing technical leadership and architecture consulting;
• Opportunity to represent the organization at customer events, technical forums, and industry conferences
• Applications are reviewed on an ongoing basis until the position is filled.