{"id":1973006,"url":"https://alion.io/job/nvidia-senior-solutions-architect-retail","title":"Senior Solutions Architect, Retail","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CrewAI","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GRPO","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"NVIDIA NIM","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"PPO","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-06T20:05:40Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-13T06:04:29Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Interested in developing innovative Agentic AI solutions with the world's top Retail, CPG, and QSR companies? Join NVIDIA as a Solutions Architect to own the evolution of Agentic AI for the enterprise. You will collaborate with top-tier Retail Companies to build and deploy sophisticated AI-native systems, focusing on multi-agent coordination, RAG-integrated workflows, and accelerated inference. By mastering NVIDIA’s core technologies-NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit-you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents.\nWhat you'll be doing:\nBuild complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.\n\nDevelop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.\n\nOptimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.\n\nBuild hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.\n\nCollaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads.\n\nCollaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations.\n\nEmpower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement.\n\nScale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.\n\nWhat we need to see:\nBS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.\n\n8+ years of experience in deep learning, machine learning, or distributed AI systems.\n\nStrong programming and debugging experience in Python, C/C++, and Linux environments.\n\nBackground in using deep learning libraries like PyTorch or TensorFlow.\n\nHands-on experience building LLM and generative AI applications.\n\nExperience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks\n\nExperience building tool-using AI agents that interact with APIs, databases, and enterprise systems.\n\nAbility to rapidly prototype AI applications and build scalable GPU-accelerated architectures.\n\nWays to Stand Out from the Crowd:\nExperience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.\n\nBackground with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.\n\nExperience with pre-training/fine-tuning techniques like SFT, LoRA, DPO, PPO, GRPO, DAPO, or RLVF\n\nExperience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.\n\nBackground with parallel or distributed computing environments and AI workloads optimized for GPUs.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 10, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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