> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior Solutions Architect, Agentic AI Canonical URL: https://nextmove.md/fde/jobs/bbc4e0e7b7f53b69 NVIDIA posts a senior FDE role to build what the customer runs, remote, hiring in California, at $184,000–$287,500 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Senior Solutions Architect driving production-grade Agentic AI adoption at leading Enterprise ISVs on NVIDIA's accelerated computing platform. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Jul 16, 2026 · open on Workday as of Nov 8, 2026 **$184,000–$287,500** *annualized* Remote, hiring in California Full-time Senior Solutions Architect driving production-grade Agentic AI adoption at leading Enterprise ISVs on NVIDIA's accelerated computing platform. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fbbc4e0e7b7f53b69&placement=top) - [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Agentic-AI_JR2021199) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $184K–$288K Above the median Midpoint $236K · median $190K This job $184K to $288K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mixed** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations (not covered) - **Coding**: Prototypes and scripts - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **8+ years** engineering, solutions architecture, applied ML, or technical deployment Background - **Software engineering** - **Solutions and customer engineering** - **Implementation and data engineering** ### Do you meet what the posting states? The posting asks for 8+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Santa Clara, CA · US remote - **Work arrangement**: Remote - **Remote work restrictions**: US - **Employment type**: Full-time ## More like this [NVIDIA](https://nextmove.md/fde/companies/nvidia) Integrates and configures it ### [Senior Solutions Architect, Agentic AI](https://nextmove.md/fde/jobs/a644ee44870f4419) US · city not listed 2w ago $184,000–$287,500 [Neo.Tax](https://nextmove.md/fde/companies/neo-tax) ### [Solutions Engineer](https://nextmove.md/fde/jobs/b0d8ad66629a1f15) Palo Alto, CA Remote 9d ago $170,000–$190,000 [Smallstep](https://nextmove.md/fde/companies/smallstep) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/aedbb63ccf765de4) San Francisco, CA Remote 3mo ago $185,000–$230,000 - [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA We are looking for a Senior Solutions Architect to help leading Enterprise ISVs design, build, optimize, and deploy production-grade Agentic AI systems on NVIDIA’s accelerated computing platform. In this role, you will partner with strategic software companies to translate frontier AI capabilities into reliable enterprise products, spanning multi-agent orchestration, RAG, tool use, model customization, and production deployment. We work at the intersection of partner engineering, NVIDIA’s AI platform, and product development. You will lead sophisticated technical projects from initial exploration through architecture, prototyping, performance optimization, production rollout, and field enablement. Together, we will help partners adopt NVIDIA technologies and GPU-accelerated infrastructure to bring next-generation AI products to market. ### What you'll be doing - Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale. - Design and build enterprise-grade agentic systems, including multi-agent workflows, tool-using agents, RAG-integrated applications, planning, memory, evaluation, and guardrail patterns. - Lead deep architecture reviews with partner engineering teams, driving tradeoffs across model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability. - Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints that help Enterprise ISVs and NVIDIA field teams move from exploration to production. - Guide partners on model customization and post-training workflows, including supervised fine-tuning, reinforcement learning methods, human or AI feedback, direct preference optimization, PEFT/LoRA, synthetic data generation, evaluation, and regression analysis. - Work with agent harnesses and execution environments such as OpenShell, OpenAI Agents SDK, LangGraph, LlamaIndex, LangChain, CrewAI, Semantic Kernel, or similar frameworks. - Translate partner deployment findings into actionable feedback for NVIDIA Product and Engineering, so we can improve our platforms, tools, and field guidance. ### What we need to see - BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience. - 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience. - Consistent track record leading complex AI, ML, distributed systems, or enterprise software deployments from prototype to production. - Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments. - Strong programming and debugging skills in Python and Linux environments, with experience in PyTorch, TensorFlow, or similar deep learning frameworks. - Deep understanding of agentic AI architectures, including tool use, orchestration, memory, retrieval, planning, evaluation, guardrails, and failure handling. - Experience with model customization or post-training techniques such as SFT, RL/RLHF/RLAIF, DPO or relevant equivalent experience, reward modeling, LoRA/PEFT, quantization-aware optimization, or model evaluation. - Ability to lead ambiguous partner engagements, influence senior engineering collaborators, and communicate clearly with technical and executive audiences. ### Ways to stand out from the crowd - Hands-on experience with NVIDIA AI software such as NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NeMo Agent Toolkit, Dynamo, Nemotron, Triton, TensorRT-LLM, or NIM Operator. - Experience building post-training pipelines for reasoning, tool use, domain adaptation, enterprise task performance, or agent behavior improvement. - Experience with agent harnesses, sandboxed execution, policy enforcement, OpenShell-like environments, or secure enterprise agent runtime build. - Recognized expertise in RAG, model customization, agent orchestration, enterprise AI security, or GPU-accelerated AI infrastructure, with field-facing technical presence through workshops, architecture reviews, talks, whitepapers, or developer enablement. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your 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. Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA 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. [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Agentic-AI_JR2021199) ## About NVIDIA Full-stack accelerated computing and AI infrastructure company building GPUs, CPUs, networking, systems, software and platforms for data centers, gaming, professional visualization, automotive and robotics. Public · 5000+ people ## Similar jobs [OpenAI](https://nextmove.md/fde/companies/openai) ### [Applied AI Engineer, Enterprise - Healthcare Life Sciences (HLS)](https://nextmove.md/fde/jobs/af85a409fcdae03e) New York, NY · San Francisco, CA Remote New · Yesterday $251,000–$278,000 [ServiceNow](https://nextmove.md/fde/companies/servicenow) ### [Forward Deployed Solution Engineer – Applied AI FDE](https://nextmove.md/fde/jobs/1a6269874b4bdbd0) Santa Clara, CA Remote 4w ago $201,300–$352,300 [Gray Swan](https://nextmove.md/fde/companies/gray-swan) ### [Senior Forward Deployed Engineer – Enterprise](https://nextmove.md/fde/jobs/2f8298f975b489cb) San Francisco, CA Remote 2mo ago $175,000–$220,000 [6sense](https://nextmove.md/fde/companies/6sense) ### [Sr. ML Ops Engineer, Forward-Deployed ](https://nextmove.md/fde/jobs/06ba4bd7675e00f2) San Francisco, CA Remote 11d ago $191,475–$260,830 [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer (FDE) - Digital Native Business ](https://nextmove.md/fde/jobs/1bde83f7bd0b6460) San Francisco, CA Remote 7w ago $182,000–$250,208 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at NVIDIA and want this page changed or removed? 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