AI Domain Solution Architect

We need to output HTML fragment with sections: About the role? Actually the posting includes "About Us" and "AI Domain Solution Architect Job Description". We need to use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We need to include sections only if posting has real specific content. We have content: About Us (company description) maybe "About the role" is not present; we have "About Us" but we could map to "About the role"? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use those headings if content matches. We have "About Us" which is about company, not role. Could we still use "About the role"? Might be okay to put company description under About the role? But better to follow instruction: Use those headings for sections we have content. We have responsibilities (Key Responsibilities). We have Skills & Experience (skills). We have Pay (Base Pay Range). We have Benefits (US benefits). We have maybe "Success in This Role" could be qualifications? Not exactly. We have "What We Offer" maybe benefits? Already have benefits. Also "SUSE Values" maybe not needed. We should omit boilerplate like background check, EEO, etc. We need to preserve all substantive information. So we need to include content from About Us, Responsibilities, Skills & Experience, Pay, Benefits, maybe "Success in This Role" as Qualifications? Could treat as Qualifications. Also "What We Offer" maybe duplicate benefits. We must not include sections with filler like "commensurate with experience". We have actual pay range and benefits. We need to output only HTML fragment, no /, no markdown fences. Structure:

About the role

then

About Us content...

Then

Responsibilities

then

• each responsibility bullet. Then

  Skills & Experience

  maybe as

  Skills

  or Qualifications? The instruction list includes Skills, Benefits, Pay, Schedule, Qualifications. We have Skills & Experience; we can put under

  Skills

  . Also we could have

  Qualifications

  for "Success in This Role"? Might be okay. But we must not create sections without real content. We have content for Skills, Responsibilities, Pay, Benefits. Also we have "About Us" which we can map to About the role. We also have "Success in This Role" which could be Qualifications. Let's extract content. About Us paragraph: "SUSE is a global leader of enterprise open source software. By transforming community innovations into secure, sovereign and AI-ready solutions, SUSE empowers customers to escape vendor lock-in and regain control of their IT destiny. Through industry-leading Linux, Kubernetes, Edge and AI infrastructure solutions, SUSE delivers the flexibility to innovate everywhere—from the data center to multi-cloud and out to the edge. Only SUSE also manages many Linux and Kubernetes distributions. At SUSE, Choice Happens because we prioritize community, interoperability and relentless innovation. Discover how we power mission-critical resilience at www.suse.com." We'll put that in

  . Responsibilities: list from "Key Responsibilities" bullet points. Need to capture each bullet. Let's list them: - Drive Technical Architecture & Solution Design: Lead discovery sessions, technical evaluations, architecture workshops, and infrastructure sizing for complex customer AI environments—translating 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. - Deliver Technical Validation & Field Sales Execution: Partner with Account Executives and field Solution Architects throughout the sales cycle to lead technical qualification, build targeted PoCs, deliver hands-on demonstrations, and develop technical proposals and RFI/RFP responses. - Guide Agentic AI Architecture: Help customers understand the infrastructure, integration, security, and governance requirements for agentic AI, multi-agent systems, and Model Context Protocol (MCP) integrations in enterprise production environments. - Collaborate Across the AI Ecosystem: Jointly architect customer solutions with strategic ecosystem partners—including hardware vendors, systems integrators, and cloud providers—to optimize AI compute, high-speed networking, storage, and overall platform architecture. - Build Field Capability & Repeatable Assets: Develop reusable reference architectures, solution blueprints, demonstrations, and technical enablement materials that scale AI expertise across regional and global field teams. - Act as the Voice of the Customer: Capture technical feedback and emerging platform requirements from customer environments and communicate them to SUSE Product Management and Engineering to help inform product direction. - Serve as an AI Infrastructure SME: Translate complex topics—including GPU architecture and partitioning, workload scheduling, multi-tenancy, high-performance networking, storage, and air-gapped operations—into clear technical and business value for audiences ranging from platform engineers to C-suite technology executives. We'll put each as

• . Skills & Experience: list from "Skills & Experience" section. Need to capture each bullet. Let's extract: - Presales Architecture Experience: Proven track record translating deep technical expertise into effective customer solutions, proposals, presentations, demonstrations, RFP responses, and hands-on workshops in a presales, solution architecture, or technical consulting role. - Technical Communication & Leadership: Ability to simplify complex AI and infrastructure concepts for both technical and executive audiences, connecting technical architecture to business outcomes. Demonstrated ability to coordinate cross-functional teams, influence stakeholders in matrixed environments, and drive execution with a team-first mindset. - AI Infrastructure & Accelerated Computing: 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, together with familiarity with technologies such as vLLM, NIM, RAG, and vector databases. - NVIDIA Ecosystem Proficiency: 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. - Container Management & Cloud-Native Platforms: Expert-level Kubernetes architecture and cluster administration experience, with RKE2, K3s, and Rancher Prime preferred. Deep proficiency with Helm, GitOps, CNI, container runtimes, observability, workload scheduling, and multi-cluster lifecycle operations. - Linux Systems Expertise: Strong Linux systems knowledge, including networking, storage, containers, security, troubleshooting, and performance analysis in production environments. - SUSE Platform Knowledge: Familiarity with, or the ability to rapidly acquire expertise in, SUSE AI Factory, SUSE Rancher Prime, SUSE Linux Enterprise Server (SLES), SUSE Security (NeuVector), and SUSE Observability. - High-Performance Networking & Storage: Solid understanding of high-bandwidth, low-latency networking—including Ethernet, RoCEv2, RDMA, and InfiniBand—and distributed and object storage architectures supporting high-performance AI workloads. - Enterprise Security & Operations: 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 requirements. We'll put each as
• under

  Skills

  . Pay: we have Base Pay Range Min & Max 99,000 329,000. Also mention commission plan and competitive benefits package. We'll include Pay section with that info. Benefits: US benefits include comprehensive medical coverage, life and disability insurance, a 401(k) plan, an Employee Assistance Program, and generous paid time off and leave policies. We'll put Benefits section. We might also include Schedule? Not present, so omit. Qualifications: maybe "Success in This Role" content: "Success will be measured by your ability to bring deep AI infrastructure expertise into strategic customer opportunities, accelerate technical validation, enable field sales teams, develop repeatable AI solution patterns, and establish SUSE as a trusted platform for production enterprise AI." Also background check statement maybe not needed? It's boilerplate? It's about background check; could be considered metadata but maybe we should drop as per instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Background check maybe legal? Might be considered boilerplate; safer to omit. Also US Pay Transparency Disclaimer maybe part of Pay section? We already included pay range; we can include the disclaimer text as part of Pay paragraph? It says: "If this role is filled in the United States of America, the starting base salary will be within the applicable pay range displayed below. In addition to base salary, this position may be eligible for a commission plan and a competitive benefits package. US benefits include ... Final compensation will be determined based on factors such as experience, skills, geographic location, internal equity, and budget. This pay transparency information applies to US-based roles only." That's substantive; we can include in Pay section. We'll create Pay section with that paragraph plus the range. Now construct HTML. We'll avoid repeating job title. We'll output:

  About the role

  About Us content...

  Responsibilities

  ...

  Skills

  ...

  Qualifications

  Success will be measured by your ability to bring deep AI infrastructure expertise into strategic customer opportunities, accelerate technical validation, enable field sales teams, develop repeatable AI solution patterns, and establish SUSE as a trusted platform for production enterprise AI.

  Pay

  If this role is filled in the United States of America, the starting base salary will be within the applicable pay range displayed below. In addition to base salary, this position may be eligible for a commission plan and a competitive benefits package. US benefits include comprehensive medical coverage, life and disability insurance, a 401(k) plan, an Employee Assistance Program, and generous paid time off and leave policies. Final compensation will be determined based on factors such as experience, skills, geographic location, internal equity, and budget. This pay transparency information applies to US-based roles only. Base Pay Range: $99,000 – $329,000.

  Benefits

  US benefits include comprehensive medical coverage, life and disability insurance, a 401(k) plan, an Employee Assistance Program, and generous paid time off and leave policies.

  But note benefits already mentioned in Pay paragraph; we might duplicate. Could keep Benefits separate but content repeats. Might be okay but maybe better to not duplicate; we could put benefits only in Benefits section and mention commission plan in Pay. However the instruction: preserve ALL substantive information; not to invent or summarize away detail. If we mention benefits in Pay paragraph, we still need to include them somewhere; we can keep them in Benefits section and not repeat in Pay. But Pay paragraph also includes mention of commission plan and competitive benefits package; we can keep that generic mention without listing specifics. Let's adjust. Pay paragraph: "If this role is filled in the United States of America, the starting base salary will be within the applicable pay range displayed below. In addition to base salary, this position may be eligible for a commission plan and a competitive benefits package. Final compensation will be determined based on factors such as experience, skills, geographic location, internal equity, and budget. This pay transparency information applies to US-based roles only. Base Pay Range: $99,000 – $329,000." Benefits paragraph: list specifics. Now ensure we didn't include any boilerplate like background check, EEO, etc. We omitted. Check for any duplicated lines: we have benefits only once. Now output HTML fragment. Make sure to use proper escaping