10 дней назад
AI Domain Solution Architect (AI Infrastructure)
99 000 - 329 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Domain Solution Architect (AI Infrastructure): Designing and validating secure, scalable enterprise AI platforms based on Kubernetes, GPU-accelerated computing, SUSE AI Factory, Rancher Prime, and the NVIDIA ecosystem with an accent on production AI workloads, agentic AI, and high-performance infrastructure. Focus on architecting LLM inference, fine-tuning, RAG, and multi-agent environments, solving GPU scheduling and multi-tenancy challenges, and delivering technical validation throughout the sales cycle.
Location: Massachusetts, United States of America
Base salary: $99,000–$329,000 per year, plus potential commission and benefits.
Company
Enterprise open source software company delivering Linux, Kubernetes, Edge, and AI infrastructure solutions.
What you will do
- Lead discovery sessions, architecture workshops, technical evaluations, infrastructure sizing, and solution design for enterprise AI environments.
- Translate LLM inference, fine-tuning, and RAG workloads into scalable architectures using AI Factory, Rancher Prime, and NVIDIA accelerated computing.
- Partner with Account Executives, Solution Architects, ecosystem partners, and customers throughout the sales cycle.
- Build proofs of concept, hands-on demonstrations, technical proposals, and RFI/RFP responses.
- Guide customers on agentic AI, multi-agent systems, MCP integrations, security, governance, and production operations.
- Create reusable reference architectures and enablement materials while communicating customer requirements to Product Management and Engineering.
Requirements
- Experience in presales architecture, solution architecture, or technical consulting, including customer workshops, demonstrations, proposals, and RFP responses.
- Hands-on experience designing, operating, and sizing GPU-accelerated infrastructure for AI training, fine-tuning, and inference.
- Expert-level Kubernetes architecture and cluster administration skills, including Helm, GitOps, CNI, observability, workload scheduling, and multi-cluster operations.
- Strong Linux systems expertise covering networking, storage, containers, security, troubleshooting, and performance analysis.
- Working knowledge of the NVIDIA AI ecosystem, including CUDA, NVIDIA AI Enterprise, NCCL, GPUDirect, MIG, Run:ai, and GPU and Network Operators.
- Experience with secure production architectures, high-performance networking and storage, workload isolation, air-gapped environments, and enterprise AI governance.
Nice to have
- Experience with RKE2, K3s, and Rancher Prime.
- Familiarity with AI Factory, Linux Enterprise Server, Security, and Observability.
- Knowledge of vLLM, NIM, RAG, vector databases, RoCEv2, RDMA, and InfiniBand.
Culture & Benefits
- Open source-oriented environment centered on choice, community, trust, and innovation.
- Inclusive global community with emphasis on collaboration, diversity, experimentation, and continuous improvement.
- US benefits include medical coverage, life and disability insurance, a 401(k) plan, employee assistance, and paid time off and leave policies.
- Role is subject to criminal, credit, and/or employment reference background checks where legally permitted.
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