AI Domain Solution Architect

SUSE

. Lead discovery sessions, technical evaluations, architecture workshops, and infrastructure sizing for complex customer AI environments .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $99,000 - $329,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting scalable AI solutions, translating complex AI and infrastructure concepts for diverse audiences, and leading technical evaluations and proposals. Proficient in GPU-accelerated infrastructure design and familiar with SUSE AI Factory and NVIDIA accelerated computing technologies.

Highest-signal resume keywords

Solution ArchitectureGPU-Accelerated Infrastructure DesignKubernetes ArchitectureTechnical Proposal DevelopmentAI Governance and Security

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

GPU ArchitectureNVIDIA AI EnterpriseCUDAHelmGitOpsLinux Systems KnowledgeRKE2K3sSUSE Rancher PrimeMulti-Tenancy

Soft Skills

Cross-Functional Team CoordinationStakeholder InfluenceComplex Concept Simplification

Tools & Technologies

SUSE AI FactoryRancher PrimeNIMVLLMRun:aiObservability ToolsWorkload Scheduling ToolsContainer RuntimesHigh-Performance InterconnectsDistributed Storage Architectures

Industry Keywords

AI EnvironmentsTechnical ConsultingPresales ExperienceEnterprise AI GovernanceSecurity and Compliance

Tech Stack

Tools & technologies

CloudKubernetesLinux

About the role

Key responsibilities & impact

Lead discovery sessions, technical evaluations, architecture workshops, and infrastructure sizing for complex customer AI environments
Translate LLM inference, fine-tuning, and RAG workloads into scalable architectures using SUSE AI Factory, Rancher Prime, and the NVIDIA accelerated computing stack
Partner with Account Executives and field Solution Architects throughout sales cycles
Lead technical qualification, targeted proofs of concept, hands-on demonstrations, technical proposals, and RFI/RFP responses
Guide customers on infrastructure, integration, security, and governance for agentic AI, multi-agent systems, and MCP integrations
Architect customer solutions with hardware vendors, systems integrators, and cloud providers
Develop reusable reference architectures, solution blueprints, demonstrations, and technical enablement materials
Capture customer feedback and platform requirements for SUSE Product Management and Engineering
Translate GPU architecture, partitioning, scheduling, multi-tenancy, networking, storage, and air-gapped operations into technical and business value
Enable field sales teams and establish SUSE as a trusted platform for production enterprise AI

Requirements

What you’ll need

Proven presales, solution architecture, or technical consulting experience translating technical expertise into customer solutions, proposals, presentations, demonstrations, RFP responses, and hands-on workshops
Ability to simplify complex AI and infrastructure concepts for technical and executive audiences
Ability to coordinate cross-functional teams, influence stakeholders in matrixed environments, and drive execution
Hands-on experience designing, operating, and sizing GPU-accelerated infrastructure for AI training, fine-tuning, and inference workloads
Understanding of GPU memory and compute characteristics, resource partitioning, workload scheduling, utilization, and multi-tenancy
Familiarity with 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
Experience with or preference for RKE2, K3s, and Rancher Prime
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
Familiarity with or ability to rapidly acquire expertise in SUSE AI Factory, SUSE Rancher Prime, SLES, SUSE Security (NeuVector), and SUSE Observability
Understanding of Ethernet, RoCEv2, RDMA, InfiniBand, and distributed and object storage architectures
Experience designing secure production architectures, including container security, software supply-chain security, identity and access management, workload isolation, air-gapped/disconnected environments, and enterprise AI governance
Required completion of criminal, credit, and/or employment-reference background checks after accepting an offer, where legally permitted

Benefits

Comp & perks

Commission plan eligibility
Comprehensive medical coverage
Life and disability insurance
401(k) plan
Employee Assistance Program
Generous paid time off and leave policies
Freedom to be yourself in an open, diverse, and inclusive community
Career development and achievement recognition