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2 дня назад

Solutions Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Solutions Architect (AI): Building customer-specific demos, proofs of concept, and production solutions around efficient AI models for edge devices, mobile, embedded systems, and on-prem infrastructure with an accent on technical discovery, model deployment, and ROI-driven architecture. Focus on fine-tuning and evaluating small models, optimizing latency and memory usage, and turning customer engagement insights into reusable solutions and product roadmap feedback.

Location: Hybrid in San Francisco or Boston, United States

Company

hirify.global, spun out of MIT CSAIL, builds general-purpose AI systems optimized for low latency, minimal memory usage, privacy, and reliability across data center and on-device deployments.

What you will do

  • Own customer engagements from qualified opportunity through technical validation, go-live, and ongoing delivery.
  • Build customer-specific demos and proofs of concept using Liquid models and LEAP for fine-tuning, domain adaptation, and evaluation.
  • Lead technical discovery by mapping customer architectures to Liquid solutions and presenting competitive positioning against open-source and incumbent models.
  • Quantify ROI for cost optimization and new-experience use cases, including deployments on edge, mobile, embedded, and on-premise infrastructure.
  • Partner with product and research teams to communicate customer friction, evaluation failures, and capability gaps.
  • Create reusable reference architectures, solution primitives, demo components, engagement playbooks, and vertical-specific patterns.

Requirements

  • Hands-on applied ML experience in customer-facing work, including demos, prototypes, or production integrations.
  • Experience owning technical customer engagements across both pre-sales and post-sales stages.
  • Strong communication skills for technical discovery, relationship building, and executive presentations.
  • Understanding of AI architectures and deployment tradeoffs, including token efficiency, on-device versus cloud deployment, model size versus latency, and open-weight versus proprietary models.
  • Ability to work in a hybrid arrangement in San Francisco or Boston.

Nice to have

  • Experience deploying small or efficient models in edge, on-device, or latency-constrained environments.
  • Knowledge of quantization methods such as INT4, INT8, GGUF, and AWQ.
  • Experience with vLLM, TensorRT-LLM, llama.cpp, or hardware-aware optimization.
  • Experience designing and debugging model evaluations and diagnosing differences between benchmark and production performance.
  • Technical writing, thought leadership, or industry event presentation experience.

Culture & Benefits

  • Opportunity to build the solutions architecture function and define technical go-to-market practices.
  • Direct influence on product direction with access to the founding team.
  • Competitive base salary with equity.
  • Company-paid medical, dental, and vision premiums for employees and dependents.
  • 401(k) matching up to 4% of base pay, unlimited PTO, and company-wide Refill Days.

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