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10 дней назад

AI Domain Solution Architect (AI Infrastructure)

99 000 - 329 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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 hirify.global 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 hirify.global AI Factory, hirify.global Linux Enterprise Server, hirify.global Security, and hirify.global 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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