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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - **Company:** Penguin Recruitment Ltd - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, Microsoft Azure, Big Data, Continuous Integration, Data Centers, Computer Networking Systems, Google Cloud, Enterprise Software Applications, Large Language Models, Kubernetes, Machine Learning Operations, TensorRT, Hardware Infrastructure, Virtual Agents - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/8e3c7b24-8d31-47ac-9ed4-60c498f2bc6c ## About the Role * 7+ years of experience in a customer-facing, pre-sales technical role such as Solutions Architect, Pre-Sales Engineer, or a similar capacity. * Deep, hands-on experience designing complex, large-scale enterprise systems (e.g., in AI/ML, HPC, Big Data, or enterprise software). * Exceptional presentation, whiteboarding, and communication skills, with a demonstrated ability to present complex technical topics to both technical and non-technical audiences. * Proven ability to manage multiple, concurrent design and architecture projects in a fast-paced sales environment. * A strong understanding of the interplay between software, hardware, and networking in modern data center environments., * Deep technical expertise with the NVIDIA AI software stack (NVIDIA AI Enterprise, Triton Inference Server, NeMo, TensorRT-LLM, etc.) and underlying hardware platforms (e.g., DGX, HGX). * Experience designing solutions for LLM inference, agentic AI systems, or other advanced AI workloads. * Experience with both public cloud (AWS, Azure, Google Cloud Platform) and on-premises infrastructure deployments. * Familiarity with MLOps principles, CI/CD, and container orchestration (Kubernetes). ## Description As an AI Solution Architect, you will be the lead technical visionary in our pre-sales process, acting as the trusted advisor to our clients and the technical conscience for our sales team. You will be responsible for translating complex customer challenges into elegant, feasible, and compelling end-to-end AI solutions. This is a deeply technical, customer-facing role where you will have the opportunity to design cutting-edge agentic AI systems on the industry-leading NVIDIA AI Enterprise platform. If you are a master of the whiteboard, passionate about solving complex problems, and skilled at bridging the gap between business objectives and technical implementation, this role is for you., Lead Pre-Sales Technical Discussions * + Engage directly with prospective clients to lead deep technical discovery sessions. You will be responsible for understanding and documenting their business goals, technical requirements, and operational constraints. Design End-to-End Solutions * + Act as the lead architect in designing comprehensive, end-to-end agentic AI solutions. Your designs will be centered on the NVIDIA AI Enterprise platform and will encompass the full stack, from hardware and networking to MLOps and application layers. Act as Primary Technical Author * + Serve as the primary technical author for all service project proposals, statements of work (SOWs), and detailed architectural documentation. You will ensure that every solution is technically sound, feasible, and directly aligned with the customer's business objectives. Present and Defend Solutions * + Drive the presentation of all technical and architectural proposal content. You must be able to confidently present to a wide range of audiences, from deeply technical engineers to C-level executives, and handle challenging questions and objections. Manage Technical Scope and Timelines * + Concurrently manage multiple project design and architecture development activities. You will be responsible for clearly communicating project deliverables, milestones, potential risks/mitigations, and likely development and delivery timelines to both customers and internal teams. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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