{"id":3078166,"url":"https://alion.io/job/nvidia-senior-solutions-architect-gen-ai","title":"Senior Solutions Architect, Gen AI","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":"B","score":80,"open_postings":805,"ghost_share":0.024,"stale_share":0.732,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-25T05:49:26Z"}},"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":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"SGLang","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T08:48:21Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"NVIDIA is building the world’s leading AI company, and we are looking for a Solutions Architect skilled in full cycle Gen AI development and deployment to assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact with the world. As part of the Hospitality and Travel Solutions Architecture team, we work with some of key hotel and transportation chains to integrate accelerated computing and AI into their stacks. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. Join us in this exciting endeavor!\nWhat You Will Be Doing:\nProvide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.\n\nBuild demonstrations and POCs for solutions that address critical business needs of our customers. Help in draft requirements for missing features to unblock progress at customers/partners.\n\nEducate customers on new NVIDIA GenAI technologies and platforms. Prepare and deliver technical training presentations and workshops.\n\nBuild collateral (notebook/ blog) applied to the industry use-cases.\n\nPartner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.\n\nWhat We Need To See:\nMaster's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.\n\n8+ years of hands-on experience in a technical AI role, with a strong emphasis on Gen AI.\n\nProficient in the latest and greatest model architectures and be able to articulate the computational complexities of each.\n\nProven track record of deploying and optimizing LLM models for inference in production environments using well known inferencing engines e.g., vLLM, TRT-LLM, SGLang, etc.\n\nExpertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.\n\nSolid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.\n\nExperience with basic DevOps tools e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.\n\nExcellent communication and teamwork skills with the ability to explain complex technical concepts to both technical and non-technical collaborators.\n\nExperience leading workshops, training sessions, and presenting technical solutions to diverse audiences.\n\nWays To Stand Out From The Crowd:\nExperience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP.\n\nUnderstand Multimodal LLMs, VLMs, etc.\n\nExperience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).\n\nProven track record to profile and optimize inference latency and throughput, memory and I/O utilization.\n\nMathematical understanding of different parallelisation techniques in Gen AI\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.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 20, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":4250,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-22T11:16:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":9,"expected_fill_days":35,"reasons":["conf:21","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-solutions-architect-gen-ai","json_url":"https://alion.io/job/nvidia-senior-solutions-architect-gen-ai.json","meta":{"generated_at":"2026-10-25T06:38:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9226,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-solutions-architect-gen-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-solutions-architect-gen-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-solutions-architect-gen-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-solutions-architect-gen-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-solutions-architect-gen-ai"}]}