Назад
4 дня назад

Solutions Architect (AI)

145 000 - 290 000$
Формат работы
remote (только USA)
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
Solutions Architect (AI): Designing and deploying repeatable AI inference solutions for customers, with an accent on technical discovery, deployment architecture, benchmarking, and proof-of-concept execution. Focus on evaluating GPU and runtime tradeoffs, building playbook-style deployments across LLM and multimodal workloads, and coordinating Sales, Engineering, and customer stakeholders.

Location: Remote

Salary: $145K–$290K plus equity

Company

Baseten provides applied AI infrastructure, inference, and developer tooling that help AI companies deploy production models.

What you will do

  • Partner with Sales on customer discovery calls and translate business needs into technical solutions.
  • Lead technical demos and scope architectures, deployment approaches, and success criteria.
  • Own benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and Voice AI.
  • Evaluate GPU and inference tradeoffs, including H100 versus B200 selection and latency versus throughput optimization.
  • Run customer proofs of concept, coordinate timelines and deliverables, and involve Forward Deployed Engineering when deeper technical work is required.
  • Use and evaluate inference runtimes such as vLLM, SGLang, and TRT-LLM.

Requirements

  • Background in AI/ML and the ability to discuss technical topics credibly with customers and stakeholders.
  • Strong customer-facing communication skills, including structured discovery and clarification of ambiguous requirements.
  • Technical depth to scope solutions without writing production code.
  • Ability to script and prototype as needed, including comfort with rapid technical experimentation.

Nice to have

  • Experience running or supporting benchmarks for ML inference deployments.
  • Familiarity with GPU selection and latency-versus-throughput tuning for inference performance and cost.
  • Experience leading customer proofs of concept across Sales and Engineering.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • Flexible PTO and a company-wide Winter Break.
  • Paid parental leave and a fertility and family-building stipend.
  • Medical, dental, and vision insurance coverage for employees and dependents in the U.S.
  • Company-facilitated 401(k) in the U.S.
  • Exposure to a range of ML startups and their technical challenges.

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