AI Domain Solution Architect

SUSE • Raleigh, MA

5d • $99,000 - $329,000

About The Position

SUSE is seeking an AI-focused Domain Solution Architect to join its North America team. Embedded within the sales organization, this technical specialist works alongside Account Executives, Solution Architects, partners, and customers to architect and validate enterprise AI solutions. The role combines expertise in AI infrastructure, accelerated computing, Kubernetes, and enterprise AI platforms with the ability to design solutions for complex customer environments.

The architect helps customers move AI workloads from experimentation into secure, scalable, production-ready environments. The role focuses on designing and validating solutions for workloads such as LLM inference, fine-tuning, and RAG using SUSE AI Factory, Rancher Prime, and the NVIDIA accelerated computing stack. It also includes advising on agentic AI and multi-agent architectures, collaborating with ecosystem partners, developing reusable field assets, and relaying customer feedback to SUSE Product Management and Engineering.

This position is subject to background checks, including criminal, credit, and/or employment references, where legally permitted. For US-based roles, the stated base pay range is $99,000–$329,000; the position may also be eligible for a commission plan and benefits. Final compensation depends on factors including experience, skills, geographic location, internal equity, and budget.

Requirements

• Proven experience in presales, solution architecture, or technical consulting, translating technical expertise into customer solutions, proposals, presentations, demonstrations, RFP responses, and hands-on workshops.
• Ability to communicate complex AI and infrastructure concepts to technical and executive audiences and connect architecture to business outcomes.
• Demonstrated ability to coordinate cross-functional teams, influence stakeholders in matrixed environments, and drive execution with a team-first mindset.
• Hands-on experience designing, operating, and sizing GPU-accelerated infrastructure for AI training, fine-tuning, and inference workloads.
• Practical understanding of GPU memory and compute characteristics, resource partitioning, workload scheduling, utilization, and multi-tenancy.
• Familiarity with technologies including vLLM, NIM, RAG, and vector databases.
• Working knowledge of the NVIDIA AI and accelerated computing ecosystem, including GPU architecture, NVIDIA AI Enterprise, CUDA, GPU and Network Operators, NCCL, GPUDirect, MIG, Run:ai, and high-performance interconnects.
• Expert-level Kubernetes architecture and cluster administration experience.
• Deep proficiency with Helm, GitOps, CNI, container runtimes, observability, workload scheduling, and multi-cluster lifecycle operations.
• Strong Linux systems knowledge, including networking, storage, containers, security, troubleshooting, and performance analysis in production environments.
• Solid understanding of high-bandwidth, low-latency networking, including Ethernet, RoCEv2, RDMA, and InfiniBand, and of distributed and object storage architectures for high-performance AI workloads.
• Experience designing secure production architectures, including container and software supply-chain security, identity and access management, workload isolation, air-gapped or disconnected environments, and enterprise AI governance requirements.

Nice To Haves

• Experience with RKE2, K3s, and Rancher Prime.
• Familiarity with SUSE AI Factory, SUSE Rancher Prime, SUSE Linux Enterprise Server (SLES), SUSE Security (NeuVector), and SUSE Observability, or the ability to rapidly acquire expertise in these products.

Responsibilities

• Lead discovery sessions, technical evaluations, architecture workshops, and infrastructure sizing for complex customer AI environments.
• Translate enterprise workloads such as LLM inference, fine-tuning, and RAG into scalable architectures built on SUSE AI Factory, Rancher Prime, and the NVIDIA accelerated computing stack.
• Partner with Account Executives and field Solution Architects throughout the sales cycle to lead technical qualification, build PoCs, deliver demonstrations, and develop technical proposals and RFI/RFP responses.
• Advise customers on infrastructure, integration, security, and governance requirements for agentic AI, multi-agent systems, and Model Context Protocol (MCP) integrations in enterprise production environments.
• Jointly architect customer solutions with hardware vendors, systems integrators, and cloud providers, optimizing AI compute, high-speed networking, storage, and platform architecture.
• Develop reusable reference architectures, solution blueprints, demonstrations, and technical enablement materials for regional and global field teams.
• Capture technical feedback and emerging platform requirements from customer environments and communicate them to SUSE Product Management and Engineering.
• Explain complex AI infrastructure topics—including GPU architecture and partitioning, workload scheduling, multi-tenancy, high-performance networking, storage, and air-gapped operations—in terms relevant to technical and executive audiences.
• Enable field sales teams, accelerate technical validation, develop repeatable AI solution patterns, and help establish SUSE as a trusted platform for production enterprise AI.

Benefits

• Comprehensive medical coverage
• Life insurance
• Disability insurance
• 401(k) plan
• Employee Assistance Program
• Paid time off and leave policies

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed